32nd International Conference on Machine Learning (ICML), Lille 2015

32nd International Conference on Machine Learning (ICML), Lille 2015

276 Videos · Jul 5, 2015

About

ICML 2015 is the leading international machine learning conference and is supported by the International Machine Learning Society (IMLS).

Videos

Tutorials

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01:10:55

Advances in Structured Prediction

Hal Daumé III

Dec 5, 2015

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4285 views

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01:55:23

Bayesian Time Series Modeling: Structured Representations for Scalability

Emily Fox

Dec 5, 2015

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4109 views

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02:04:30

Natural Language Understanding: Foundations and State-of-the-Art

Percy Liang

Dec 5, 2015

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6642 views

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54:29

Modern Convex Optimization Methods for Large-scale Empirical Risk Minimization

Mark Schmidt

Dec 5, 2015

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4106 views

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02:01:20

Computational Social Science

Hanna M. Wallach

Dec 5, 2015

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3327 views

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02:18:53

Policy Search: Methods and Applications

Gerhard Neumann,

Jan Peters

Dec 5, 2015

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4413 views

Welcome Address

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09:27

Welcome address

Dec 5, 2015

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3288 views

Keynote Speakers

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01:06:13

Social Interaction in Global Networks

Jon Kleinberg

Dec 5, 2015

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2321 views

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52:12

Learning Treatment Policies in Mobile Health

Susan A. Murphy

Dec 5, 2015

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1589 views

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41:17

Two high stakes challenges in machine learning

Léon Bottou

Dec 5, 2015

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11823 views

Awards

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15:09

Learning to Rank Using Gradient Descent

Chris Burges

Dec 5, 2015

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3985 views

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19:07

A Nearly-Linear Time Framework for Graph-Structured Sparsity

Ludwig Schmidt

Dec 5, 2015

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1880 views

Deep Learning I

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15:44

Modeling Order in Neural Word Embeddings at Scale

Andrew Trask,

David Gilmore

Dec 5, 2015

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2689 views

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16:36

BilBOWA: Fast Bilingual Distributed Representations without Word Alignments

Stephan Gouws

Dec 5, 2015

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2022 views

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15:58

Learning Program Embeddings to Propagate Feedback on Student Code

Chris Piech

Dec 5, 2015

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2142 views

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14:32

An Empirical Exploration of Recurrent Network Architectures

Rafal Jozefowicz

Dec 5, 2015

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3219 views

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18:02

Gated Feedback Recurrent Neural Networks

Junyoung Chung

Dec 5, 2015

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2886 views

Distributed Optimization

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16:15

PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent

Cho-Jui Hsieh

Dec 5, 2015

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1770 views

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16:57

DiSCO: Distributed Optimization for Self-Concordant Empirical Loss

Yuchen Zhang

Dec 5, 2015

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1891 views

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16:31

Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM

Ching-Pei Lee

Dec 5, 2015

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2294 views

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14:27

An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimi...

Garud Iyengar

Dec 5, 2015

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2071 views

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15:50

Adding vs. Averaging in Distributed Primal-Dual Optimization

Virginia Smith

Dec 5, 2015

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1900 views

Bayesian Nonparametrics I

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18:03

JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes

Jonathan Huggins

Dec 5, 2015

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1527 views

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17:42

Atomic Spatial Processes

Neil Spencer

Dec 5, 2015

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1626 views

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17:57

Manifold-valued Dirichlet Processes

Hyunwoo J. Kim

Dec 5, 2015

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1781 views

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18:56

A Bayesian nonparametric procedure for comparing algorithms

Francesca Mangili

Dec 5, 2015

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1527 views

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17:37

DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asympto...

Yining Wang

Dec 5, 2015

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1694 views

Reinforcement Learning I

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15:56

A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling ...

Pratik Gajane

Sep 27, 2015

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2310 views

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15:22

Off-policy Model-based Learning under Unknown Factored Dynamics

Assaf Hallak

Sep 27, 2015

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1791 views

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19:20

Large-Scale Markov Decision Problems with KL Control Cost and its Application to...

Alan Malek

Sep 27, 2015

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2264 views

Private
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13:33

On TD(0) with function approximation: Concentration bounds and a centered varian...

Nathaniel Korda

Sep 27, 2015

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1306 views

Learning Theory I

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15:40

Theory of Dual-sparse Regularized Randomized Reduction

Tianbao Yang

Sep 27, 2015

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1897 views

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15:07

A Theoretical Analysis of Metric Hypothesis Transfer Learning

Michaël Perrot

Sep 27, 2015

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1774 views

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18:27

The Ladder: A Reliable Leaderboard for Machine Learning Competitions

Moritz Hardt

Sep 27, 2015

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2118 views

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15:19

Entropy-Based Concentration Inequalities for Dependent Variables

Liva Ralaivola

Sep 27, 2015

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1958 views

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15:19

Optimizing Non-decomposable Performance Measures: A Tale of Two Classes

Harikrishna Narasimhan

Sep 27, 2015

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1892 views

Supervised Learning I

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13:08

Support Matrix Machines

Luo Luo

Sep 27, 2015

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2451 views

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18:43

Entropy evaluation based on confidence intervals of frequency estimates: Applica...

Mathieu Serrurier

Sep 27, 2015

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1481 views

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17:00

Multi-instance multi-label learning in the presence of novel class instances

Raviv Raich

Sep 27, 2015

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2342 views

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13:16

Attribute Efficient Linear Regression with Distribution-Dependent Sampling

Doron Kukliansky

Sep 27, 2015

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1845 views

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18:48

Learning from Corrupted Binary Labels via Class-Probability Estimation

Aditya Menon

Sep 27, 2015

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1929 views

Bandit Learning

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19:06

Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Pr...

Junpei Komiyama

Dec 5, 2015

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1713 views

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15:08

Simple regret for infinitely many armed bandits

Alexandra Carpentier

Dec 5, 2015

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2059 views

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19:07

Cheap Bandits

Manjesh Kumar Hanawal

Dec 5, 2015

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1470 views

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23:31

Cascading Bandits: Learning to Rank in the Cascade Model

Branislav Kveton

Dec 5, 2015

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1724 views

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22:33

Qualitative Multi-Armed Bandits: A Quantile-Based Approach

Szörényi Balázs

Dec 5, 2015

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1417 views

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18:06

Efficient Learning in Large-Scale Combinatorial Semi-Bandits

Branislav Kveton

Dec 5, 2015

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1539 views

Deep Learning Computations

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16:37

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Cov...

Sergey Ioffe

Dec 5, 2015

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5892 views

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18:05

Deep Learning with Limited Numerical Precision

Suyog Gupta

Dec 5, 2015

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2952 views

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12:53

Compressing Neural Networks with the Hashing Trick

Kilian Q. Weinberger

Dec 5, 2015

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3196 views

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17:37

Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix

Roger Grosse

Dec 5, 2015

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1811 views

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18:20

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

James Martens

Dec 5, 2015

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2241 views

Causality

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17:07

Counterfactual Risk Minimization: Learning from Logged Bandit Feedback

Adith Swaminathan

Dec 5, 2015

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1687 views

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17:38

Towards a Learning Theory of Cause-Effect Inference

Krikamol Muandet

Dec 5, 2015

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2058 views

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17:59

Removing systematic errors for exoplanet search via latent causes

Bernhard Schölkopf

Dec 5, 2015

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2347 views

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17:16

Discovering Temporal Causal Relations from Subsampled Data

Kun Zhang

Dec 5, 2015

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1739 views

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16:23

Telling cause from effect in deterministic linear dynamical systems

Naji Shajarisales

Dec 5, 2015

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1813 views

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17:11

Causal Inference by Identification of Vector Autoregressive Processes with Hidde...

Philipp Geiger

Dec 5, 2015

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1630 views

Matrix Factorization

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17:58

PU Learning for Matrix Completion

Cho-Jui Hsieh

Sep 27, 2015

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2263 views

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18:16

An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection

Tianbao Yang

Sep 27, 2015

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1892 views

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17:48

Guaranteed Tensor Decomposition: A Moment Approach

Gongguo Tang

Sep 27, 2015

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2016 views

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18:18

Low-Rank Matrix Recovery from Row-and-Column Affine Measurements

Avishai Wagner

Sep 27, 2015

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2065 views

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20:36

Intersecting Faces: Non-negative Matrix Factorization With New Guarantees

James Y. Zou

Sep 27, 2015

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2119 views

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10:12

CUR Algorithm for Partially Observed Matrices

Miao Xu

Sep 27, 2015

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1823 views

Sparsity I

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16:47

Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems

Qiang Zhou

Sep 27, 2015

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1696 views

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20:24

Sparse Subspace Clustering with Missing Entries

René Vidal

Sep 27, 2015

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2176 views

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17:32

Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing

Rongda Zhu

Sep 27, 2015

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2102 views

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21:29

Swept Approximate Message Passing for Sparse Estimation

Eric W. Tramel

Sep 27, 2015

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1887 views

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20:50

Complete Dictionary Recovery Using Nonconvex Optimization

John Wright

Sep 27, 2015

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2196 views

Ranking Learning

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16:58

Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and T...

Arun Rajkumar

Sep 27, 2015

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1732 views

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18:09

MRA-based Statistical Learning from Incomplete Rankings

Eric Sibony

Sep 27, 2015

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1568 views

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15:28

Distributional Rank Aggregation, and an Axiomatic Analysis

Harsh Pareek

Sep 27, 2015

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1450 views

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14:44

Generalization error bounds for learning to rank: Does the length of document li...

Sougata Chaudhuri

Sep 27, 2015

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1744 views

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19:07

Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons

Changho Suh

Sep 27, 2015

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2069 views

Private
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15:08

Preference Completion: Large-scale Collaborative Ranking from Pairwise Compariso...

Sep 27, 2015

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0 views

Optimization I

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15:35

Stochastic Optimization with Importance Sampling for Regularized Loss Minimizati...

Peilin Zhao

Dec 5, 2015

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2202 views

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17:30

A Lower Bound for the Optimization of Finite Sums

Alekh Agarwal

Dec 5, 2015

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1966 views

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15:59

Stochastic Dual Coordinate Ascent with Adaptive Probabilities

Zheng Qu

Dec 5, 2015

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1758 views

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17:26

Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Pro...

Christopher De Sa

Dec 5, 2015

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1979 views

Structured Prediction I

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19:16

How Hard is Inference for Structured Prediction?

David Sontag

Dec 5, 2015

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1748 views

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18:26

PeakSeg: constrained optimal segmentation and supervised penalty learning for pe...

Toby Dylan Hocking

Dec 5, 2015

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1596 views

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18:22

Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs

Stephen Bach

Dec 5, 2015

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2172 views

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18:19

Learning Submodular Losses with the Lovasz Hinge

Jiaqian Yu

Dec 5, 2015

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1703 views

Reinforcement Learning II

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16:51

Trust Region Policy Optimization

John Schulman

Dec 5, 2015

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2788 views

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17:29

Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning

Ronald Ortner

Dec 5, 2015

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1933 views

Private
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17:23

Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games

Julien Pérolat

Dec 5, 2015

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1299 views

Private
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18:23

Non-Stationary Approximate Modified Policy Iteration

Bruno Scherrer

Dec 5, 2015

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1194 views

Gaussian Processes I

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18:57

Controversy in mechanistic modelling with Gaussian processes

Benn Macdonald,

Dirk Husmeier

Sep 27, 2015

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2029 views

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18:59

A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with S...

Bryan Kian Hsiang Low

Sep 27, 2015

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2228 views

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19:13

Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods

Seth Flaxman

Sep 27, 2015

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2246 views

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17:06

Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)

Andrew Gordon Wilson

Sep 27, 2015

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4983 views

Transfer Learning I

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16:34

An embarrassingly simple approach to zero-shot learning

Bernardino Romera-Paredes

Sep 27, 2015

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3103 views

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18:18

Asymmetric Transfer Learning with Deep Gaussian Processes

Melih Kandemir

Sep 27, 2015

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2520 views

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14:45

Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices

Tianbao Yang

Sep 27, 2015

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1734 views

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18:02

Active Nearest Neighbors in Changing Environments

Christopher Berlind

Sep 27, 2015

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1529 views

Networks and Graphs I

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19:17

Consistent estimation of dynamic and multi-layer block models

Kevin Shuai Xu

Sep 27, 2015

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1978 views

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12:12

Scalable Model Selection for Large-Scale Factorial Relational Models

Lu Feng

Sep 27, 2015

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1602 views

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16:58

A Divide and Conquer Framework for Distributed Graph ClusteringLearning with Mul...

Wenzhuo Yang

Sep 27, 2015

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1959 views

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19:07

Community Detection Using Time-Dependent Personalized PageRank

Haim Avron

Sep 27, 2015

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2145 views

Deep Learning II

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16:10

Unsupervised Domain Adaptation by Backpropagation

Yaroslav Ganin

Dec 5, 2015

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3128 views

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18:24

Learning Transferable Features with Deep Adaptation Networks

Mingsheng Long

Dec 5, 2015

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2422 views

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15:28

How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distanc...

Senjian An

Dec 5, 2015

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2118 views

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18:04

Variational Generative Stochastic Networks with Collaborative Shaping

Philip Bachman

Dec 5, 2015

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1716 views

Networks and Graphs II

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17:55

An Aligned Subtree Kernel for Weighted Graphs

Lu Bai

Dec 5, 2015

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1495 views

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14:04

Inferring Graphs from Cascades: A Sparse Recovery Framework

Thibaut Horel

Dec 5, 2015

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1439 views

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18:49

Correlation Clustering in Data Streams

Sudipto Guha

Dec 5, 2015

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1691 views

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18:12

HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Ba...

Xinran He

Dec 5, 2015

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1907 views

Online Learning I

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18:01

Adaptive Belief Propagation

Georgios Papachristoudis

Dec 5, 2015

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1503 views

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18:30

The Hedge Algorithm on a Continuum

Walid Krichene

Dec 5, 2015

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1683 views

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12:18

Strongly Adaptive Online Learning

Alon Gonen

Dec 5, 2015

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1629 views

Probabilistic Models I

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17:51

Fixed-point algorithms for learning determinantal point processes

Zelda Mariet

Sep 27, 2015

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1843 views

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14:16

Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood

Wenzhao Lian

Sep 27, 2015

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1676 views

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16:57

Inference in a Partially Observed Queuing Model with Applications in Ecology

Kevin Winner

Sep 27, 2015

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1608 views

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15:29

On the Relationship between Sum-Product Networks and Bayesian Networks

Han Zhao

Sep 27, 2015

 · 

2248 views

Learning Theory II

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12:40

Classification with Low Rank and Missing Data

Roi Livni

Sep 27, 2015

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2011 views

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13:19

Convex Calibrated Surrogates for Hierarchical Classification

Harish G. Ramaswamy

Sep 27, 2015

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1602 views

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17:08

Risk and Regret of Hierarchical Bayesian Learners

Jonathan Huggins

Sep 27, 2015

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1345 views

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20:14

Surrogate Functions for Maximizing Precision at the Top

Purushottam Kar

Sep 27, 2015

 · 

2047 views

Transfer Learning II

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18:46

Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer

Shan-Hung Wu

Sep 27, 2015

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1735 views

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12:42

Convex Formulation for Learning from Positive and Unlabeled Data

Marthinus Christoffel du Plessis

Sep 27, 2015

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1816 views

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17:28

A Probabilistic Model for Dirty Multi-task Feature Selection

Daniel Hernandez-Lobato

Sep 27, 2015

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1611 views

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19:10

Convex Learning of Multiple Tasks and their Structure

Carlo Ciliberto

Sep 27, 2015

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1375 views

Deep Learning and Vision

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17:19

Deep Edge-Aware Filters

Jimmy SJ. Ren

Dec 9, 2015

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3292 views

Private
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12:58

Unsupervised Learning of Video Representations using LSTMs

Elman Mansimov

Dec 5, 2015

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1452 views

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19:32

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Kelvin Xu

Dec 5, 2015

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3556 views

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17:44

Online Tracking by Learning Discriminative Saliency Map with Convolutional Neura...

Seunghoon Hong

Jan 6, 2016

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2826 views

Private
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18:25

DRAW: A Recurrent Neural Network For Image Generation

Karol Gregor

Dec 5, 2015

 · 

1694 views

Bayesian Optimization

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18:27

Scalable Bayesian Optimization Using Deep Neural Networks

Jasper Snoek

Dec 5, 2015

 · 

1810 views

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16:35

Safe Exploration for Optimization with Gaussian Processes

Alkis Gotovos

Dec 5, 2015

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2039 views

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18:25

Gradient-based Hyperparameter Optimization through Reversible Learning

David Kristjanson Duvenaud

Dec 5, 2015

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1665 views

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19:23

Predictive Entropy Search for Bayesian Optimization with Unknown Constraints

José Miguel Hernández-Lobato

Dec 5, 2015

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1450 views

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18:58

High Dimensional Bayesian Optimisation and Bandits via Additive Models

Kirthevasan Kandasamy

Dec 5, 2015

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2383 views

Variational Inference

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18:39

Markov Chain Monte Carlo and Variational Inference: Bridging the Gap

Tim Salimans

Dec 5, 2015

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2346 views

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17:27

A trust-region method for stochastic variational inference with applications to ...

Lucas Theis

Dec 5, 2015

 · 

1991 views

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16:13

Variational Inference with Normalizing Flows

Danilo Jimenez Rezende

Dec 5, 2015

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2416 views

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16:40

Scalable Variational Inference in Log-supermodular Models

Josip Djolonga

Dec 5, 2015

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1597 views

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17:49

An Empirical Study of Stochastic Variational Inference Algorithms for the Beta B...

Amar Shah

Dec 5, 2015

 · 

1581 views

Large Scale Learning

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16:35

Coresets for Nonparametric Estimation - the Case of DP-Means

Olivier Bachem

Sep 27, 2015

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1800 views

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16:55

Large-scale log-determinant computation through stochastic Chebyshev expansions

Insu Han

Sep 27, 2015

 · 

2356 views

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13:21

Finding Linear Structure in Large Datasets with Scalable Canonical Correlation A...

Zhuang Ma

Sep 27, 2015

 · 

2175 views

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15:52

K-hyperplane Hinge-Minimax Classifier

Margarita Osadchy

Sep 27, 2015

 · 

1600 views

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16:51

Faster cover trees

Mike Izbicki

Sep 27, 2015

 · 

1502 views

Structured Prediction II

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16:40

Learning to Search Better than Your Teacher

Akshay Krishnamurthy

Sep 27, 2015

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2019 views

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16:20

Algorithms for the Hard Pre-Image Problem of String Kernels and the General Prob...

Amélie Rolland

Sep 27, 2015

 · 

1727 views

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15:26

Learning Fast-Mixing Models for Structured Prediction

Jacob Steinhardt

Sep 27, 2015

 · 

2123 views

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18:23

Learning Deep Structured Models

Liang-Chieh Chen

Sep 27, 2015

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3564 views

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16:30

Learning Scale-Free Networks by Dynamic Node Specific Degree Prior

Jinbo Xu

Sep 27, 2015

 · 

1423 views

Manifold Learning

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17:13

Learning Local Invariant Mahalanobis Distances

Ethan Fetaya

Sep 27, 2015

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1726 views

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16:37

Landmarking Manifolds with Gaussian Processes

Dawen Liang

Sep 27, 2015

 · 

1702 views

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18:05

Subsampling Methods for Persistent Homology

Bertrand Michel

Sep 27, 2015

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1509 views

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13:34

Bipartite Edge Prediction via Transductive Learning over Product Graphs

Hanxiao Liu

Sep 27, 2015

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1545 views

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15:32

Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transform...

Tam Le

Sep 27, 2015

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2012 views

Gaussian Processes II

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16:29

Latent Gaussian Processes for Distribution Estimation of Multivariate Categorica...

Yarin Gal

Dec 5, 2015

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2035 views

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18:37

Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Proce...

Yves-Laurent Kom Samo

Dec 5, 2015

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1574 views

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17:55

Finding Galaxies in the Shadows of Quasars with Gaussian Processes

Roman Garnett

Dec 5, 2015

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1603 views

Monte Carlo Methods

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18:39

Nested Sequential Monte Carlo Methods

Christian Andersson Naesseth

Dec 5, 2015

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2248 views

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16:51

Exponential Integration for Hamiltonian Monte Carlo

Wei-Lun Chao

Dec 5, 2015

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1507 views

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22:19

The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Da...

Michael Betancourt

Dec 5, 2015

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1790 views

Hashing

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13:45

On Symmetric and Asymmetric LSHs for Inner Product Search

Nathan Srebro

Dec 5, 2015

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1581 views

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10:25

Hashing for Distributed Data

Cong Leng

Dec 5, 2015

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1564 views

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21:27

Binary Embedding: Fundamental Limits and Fast Algorithm

Constantine Caramanis

Dec 5, 2015

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1729 views

Feature Selection I

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16:32

Low Rank Approximation using Error Correcting Coding Matrices

Shashanka Ubaru

Sep 27, 2015

 · 

2174 views

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16:21

Multiview Triplet Embedding: Learning Attributes in Multiple Maps

Ehsan Amid

Sep 27, 2015

 · 

1888 views

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20:44

A Unified Framework for Outlier-Robust PCA-like Algorithms

Wenzhuo Yang

Sep 27, 2015

 · 

1667 views

Kernel Methods

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18:49

A low variance consistent test of relative dependency

Wacha Bounliphone

Sep 27, 2015

 · 

1484 views

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15:25

The Kendall and Mallows Kernels for Permutations

Yunlong Jiao

Sep 27, 2015

 · 

1725 views

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Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale ...

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Sep 27, 2015

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1607 views

Computational Advertising and Social Science

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Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View

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Sep 27, 2015

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1714 views

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Approval Voting and Incentives in Crowdsourcing

Nihar B. Shah

Sep 27, 2015

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3534 views

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Threshold Influence Model for Allocating Advertising Budgets

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Sep 27, 2015

 · 

1596 views

Optimization II

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Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Se...

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Dec 5, 2015

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2857 views

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19:05

Online Learning of Eigenvectors

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Dec 5, 2015

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1585 views

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18:51

A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate

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Dec 5, 2015

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1863 views

Approximate Inference I

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18:46

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Li...

Kohei Hayashi

Dec 5, 2015

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1485 views

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16:40

Reified Context Models

Jacob Steinhardt

Dec 5, 2015

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1507 views

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A Hybrid Approach for Probabilistic Inference using Random Projections

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Dec 5, 2015

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1695 views

Bayesian Nonparametrics II

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Metadata Dependent Mondrian Processes

Dec 5, 2015

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1212 views

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Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparame...

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Dec 5, 2015

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1398 views

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Bayesian and Empirical Bayesian Forests

Matt Taddy

Dec 5, 2015

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1540 views

Time Series Analysis I

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Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Stre...

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Sep 27, 2015

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3043 views

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18:56

Moderated and Drifting Linear Dynamical Systems

Jinyan Guan

Sep 27, 2015

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1763 views

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A Multitask Point Process Predictive Model

Wenzhao Lian

Sep 27, 2015

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2299 views

Feature Selection II

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Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA

Bo Xin

Sep 27, 2015

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1534 views

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Streaming Sparse Principal Component Analysis

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Sep 27, 2015

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1636 views

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Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Le...

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Sep 27, 2015

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1376 views

Unsupervised Learning I

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Hidden Markov Anomaly Detection

Nico Görnitz

Sep 27, 2015

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2147 views

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Deep Unsupervised Learning using Nonequilibrium Thermodynamics

Jascha Sohl-Dickstein

Sep 27, 2015

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2147 views

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Structural Maxent Models

Vitaly Kuznetsov

Sep 27, 2015

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1982 views

Optimization III

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Un-regularizing: approximate proximal point and faster stochastic algorithms for...

Roy Frostig

Dec 5, 2015

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1666 views

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18:33

Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order M...

Zirui Zhou

Dec 5, 2015

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1609 views

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Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets

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Dec 5, 2015

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1538 views

Probabilistic Models II

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Dealing with small data: On the generalization of context trees

Ralf Eggeling

Dec 5, 2015

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1386 views

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Vector-Space Markov Random Fields via Exponential Families

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Dec 5, 2015

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1484 views

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Harmonic Exponential Families on Manifolds

Taco Cohen

Dec 5, 2015

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1559 views

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Celeste: Variational inference for a generative model of astronomical images

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Dec 5, 2015

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1415 views

Natural Language Processing I

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A Linear Dynamical System Model for Text

David Belanger

Dec 5, 2015

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1794 views

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A Fast Variational Approach for Learning Markov Random Field Language Models

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Dec 5, 2015

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1617 views

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From Word Embeddings To Document Distances

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Dec 5, 2015

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3148 views

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Learning Word Representations with Hierarchical Sparse Coding

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Dec 5, 2015

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2219 views

Submodularity

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On Greedy Maximization of Entropy

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Sep 27, 2015

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1904 views

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19:09

Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functio...

Alina Raluca Ene

Sep 27, 2015

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2110 views

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Submodularity in Data Subset Selection and Active Learning

Kai Wei

Sep 27, 2015

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1908 views

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18:31

The Power of Randomization: Distributed Submodular Maximization on Massive Datas...

Justin Ward

Sep 27, 2015

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1759 views

Online Learning II

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Online Time Series Prediction with Missing Data

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Sep 27, 2015

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1854 views

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21:56

On Identifying Good Options under Combinatorially Structured Feedback in Finite ...

Yifan Wu

Sep 27, 2015

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1286 views

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14:16

Following the Perturbed Leader for Online Structured Learning

Alon Cohen

Sep 27, 2015

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1278 views

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17:01

An Online Learning Algorithm for Bilinear Models

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Sep 27, 2015

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1716 views

Unsupervised Learning II

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17:40

Entropic Graph-based Posterior Regularization

Maxwell Libbrecht

Sep 27, 2015

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1782 views

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19:24

Context-based Unsupervised Data Fusion for Decision Making

Mihaela van der Schaar

Sep 27, 2015

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1454 views

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Information Geometry and Minimum Description Length Networks

Ke Sun

Sep 27, 2015

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1511 views

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17:44

Alpha-Beta Divergences Discover Micro and Macro Structures in Data

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Sep 27, 2015

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1813 views

Deep Learning III

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14:40

Weight Uncertainty in Neural Network

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Dec 5, 2015

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2247 views

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16:03

Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of...

Taehoon Lee

Dec 5, 2015

 · 

1780 views

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11:47

Generative Moment Matching Networks

Kevin Swersky

Dec 5, 2015

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1713 views

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Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks

José Miguel Hernández-Lobato

Dec 5, 2015

 · 

1803 views

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14:06

MADE: Masked Autoencoder for Distribution Estimation

Mathieu Germain

Dec 5, 2015

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1677 views

Privacy

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Differentially Private Bayesian Optimization

Matt J. Kusner

Dec 5, 2015

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1658 views

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The Composition Theorem for Differential Privacy

Sewoong Oh

Dec 5, 2015

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1623 views

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Rademacher Observations, Private Data, and Boosting

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Dec 5, 2015

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1527 views

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Is Feature Selection Secure against Training Data Poisoning?

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Dec 5, 2015

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3024 views

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Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo

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Dec 5, 2015

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1707 views

Topic Models

Private
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Scalable Deep Poisson Factor Analysis for Topic Modeling

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Dec 5, 2015

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1270 views

Private
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Ordinal Mixed Membership Models

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Dec 5, 2015

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949 views

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Efficient Training of LDA on a GPU by Mean-for-Mode Estimation

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Dec 5, 2015

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1016 views

Private
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Markov Mixed Membership Models

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Dec 5, 2015

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1164 views

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Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic...

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Dec 5, 2015

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1149 views

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Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret

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Sep 27, 2015

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1650 views

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18:00

Robust partially observable Markov decision process

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Sep 27, 2015

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1543 views

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Fictitious Self-Play in Extensive-Form Games

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Sep 27, 2015

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3362 views

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A Deeper Look at Planning as Learning from Replay

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Sep 27, 2015

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1528 views

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Training Deep Convolutional Neural Networks to Play Go

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Sep 27, 2015

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2752 views

Gaussian Processes III

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Improving the Gaussian Process Sparse Spectrum Approximation by Representing Unc...

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Sep 27, 2015

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2242 views

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19:52

Distributed Gaussian Processes

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Sep 27, 2015

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1863 views

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18:03

Enabling scalable stochastic gradient-based inference for Gaussian processes by ...

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Sep 27, 2015

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1782 views

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Sparse Variational Inference for Generalized GP Models

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Sep 27, 2015

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1600 views

Supervised Learning II

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Consistent Multiclass Algorithms for Complex Performance Measures

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Sep 27, 2015

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1565 views

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Dynamic Sensing: Better Classification under Acquisition Constraints

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Sep 27, 2015

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1436 views

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A New Generalized Error Path Algorithm for Model Selection

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Sep 27, 2015

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1389 views

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On the Optimality of Multi-Label Classification under Subset Zero-One Loss for D...

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Sep 27, 2015

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1809 views

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Feature-Budgeted Random Forest

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Sep 27, 2015

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1527 views

Reinforcement Learning IV

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Abstraction Selection in Model-based Reinforcement Learning

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Dec 5, 2015

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1949 views

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Universal Value Function Approximators

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Dec 5, 2015

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2076 views

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High Confidence Policy Improvement

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Dec 5, 2015

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1567 views

Optimization IV

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Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimiza...

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Dec 5, 2015

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1628 views

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Adaptive Stochastic Alternating Direction Method of Multipliers

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Dec 5, 2015

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1899 views

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A General Analysis of the Convergence of ADMM

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Dec 5, 2015

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1541 views

Bayesian Nonparametrics III

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Distributed Inference for Dirichlet Process Mixture Models

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Dec 5, 2015

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1292 views

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A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models

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Dec 5, 2015

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1566 views

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Large-scale Distributed Dependent Nonparametric Trees

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Dec 5, 2015

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1477 views

Sparsity II

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Geometric Conditions for Subspace-Sparse Recovery

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1528 views

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Stay on path: PCA along graph paths

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1698 views

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A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-...

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A Convex Optimization Framework for Bi-Clustering

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1886 views

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Multi-Task Learning for Subspace Segmentation

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Sep 27, 2015

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1963 views

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Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization

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Sep 27, 2015

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1833 views

Vision

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Bayesian Multiple Target Localization

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1525 views

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Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Appli...

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Sep 27, 2015

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Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM

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1592 views

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Tracking Approximate Solutions of Parameterized Optimization Problems over Multi...

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1740 views

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Mind the duality gap: safer rules for the Lasso

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2452 views

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A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Anal...

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Dec 5, 2015

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1836 views

Approximate Inference II

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Message Passing for Collective Graphical Models

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Dec 5, 2015

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1472 views

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Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach

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Dec 5, 2015

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1584 views

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The Benefits of Learning with Strongly Convex Approximate Inference

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Dec 5, 2015

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1682 views

Natural Language Processing II

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Bimodal Modelling of Source Code and Natural Language

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Dec 5, 2015

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2127 views

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Phrase-based Image Captioning

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Dec 5, 2015

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2271 views

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Long Short-Term Memory Over Recursive Structures

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Dec 5, 2015

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1806 views

Time Series Analysis II

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Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector...

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1905 views

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Learning Parametric-Output HMMs with Two Aliased States

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Sep 27, 2015

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1423 views

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Functional Subspace Clustering with Application to Time Series

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Clustering II

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A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitionin...

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Sep 27, 2015

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1718 views

Private
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Spectral Clustering via the Power Method - Provably

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Sep 27, 2015

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1325 views

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Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Sp...

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Sep 27, 2015

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Learning Theory III

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Deterministic Independent Component Analysis

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1798 views

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Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lowe...

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Sep 27, 2015

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1734 views

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Convergence rate of Bayesian tensor estimator and its minimax optimality

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Sep 27, 2015

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1536 views