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

Advances in Structured Prediction
Dec 5, 2015
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4285 views

Bayesian Time Series Modeling: Structured Representations for Scalability
Dec 5, 2015
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4109 views

Natural Language Understanding: Foundations and State-of-the-Art
Dec 5, 2015
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6642 views

Modern Convex Optimization Methods for Large-scale Empirical Risk Minimization
Dec 5, 2015
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4106 views

Computational Social Science
Dec 5, 2015
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3327 views

Policy Search: Methods and Applications
Dec 5, 2015
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4413 views
Welcome Address

Welcome address
Dec 5, 2015
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3288 views
Keynote Speakers

Social Interaction in Global Networks
Dec 5, 2015
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2321 views

Learning Treatment Policies in Mobile Health
Dec 5, 2015
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1589 views

Two high stakes challenges in machine learning
Dec 5, 2015
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11823 views
Awards

Learning to Rank Using Gradient Descent
Dec 5, 2015
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3985 views

A Nearly-Linear Time Framework for Graph-Structured Sparsity
Dec 5, 2015
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1880 views
Deep Learning I

Modeling Order in Neural Word Embeddings at Scale
Dec 5, 2015
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2689 views

BilBOWA: Fast Bilingual Distributed Representations without Word Alignments
Dec 5, 2015
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2022 views

Learning Program Embeddings to Propagate Feedback on Student Code
Dec 5, 2015
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2142 views

An Empirical Exploration of Recurrent Network Architectures
Dec 5, 2015
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3219 views

Gated Feedback Recurrent Neural Networks
Dec 5, 2015
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2886 views
Distributed Optimization

PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent
Dec 5, 2015
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1770 views

DiSCO: Distributed Optimization for Self-Concordant Empirical Loss
Dec 5, 2015
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1891 views

Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM
Dec 5, 2015
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2294 views

An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimi...
Dec 5, 2015
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2071 views

Adding vs. Averaging in Distributed Primal-Dual Optimization
Dec 5, 2015
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1900 views
Bayesian Nonparametrics I

JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes
Dec 5, 2015
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1527 views

Atomic Spatial Processes
Dec 5, 2015
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1626 views

Manifold-valued Dirichlet Processes
Dec 5, 2015
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1781 views

A Bayesian nonparametric procedure for comparing algorithms
Dec 5, 2015
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1527 views

DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asympto...
Dec 5, 2015
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1694 views
Reinforcement Learning I

A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling ...
Sep 27, 2015
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2310 views

Off-policy Model-based Learning under Unknown Factored Dynamics
Sep 27, 2015
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1791 views

Large-Scale Markov Decision Problems with KL Control Cost and its Application to...
Sep 27, 2015
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2264 views

On TD(0) with function approximation: Concentration bounds and a centered varian...
Sep 27, 2015
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1306 views
Learning Theory I

Theory of Dual-sparse Regularized Randomized Reduction
Sep 27, 2015
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1897 views

A Theoretical Analysis of Metric Hypothesis Transfer Learning
Sep 27, 2015
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1774 views

The Ladder: A Reliable Leaderboard for Machine Learning Competitions
Sep 27, 2015
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2118 views

Entropy-Based Concentration Inequalities for Dependent Variables
Sep 27, 2015
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1958 views

Optimizing Non-decomposable Performance Measures: A Tale of Two Classes
Sep 27, 2015
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1892 views
Supervised Learning I

Support Matrix Machines
Sep 27, 2015
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2451 views

Entropy evaluation based on confidence intervals of frequency estimates: Applica...
Sep 27, 2015
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1481 views

Multi-instance multi-label learning in the presence of novel class instances
Sep 27, 2015
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2342 views

Attribute Efficient Linear Regression with Distribution-Dependent Sampling
Sep 27, 2015
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1845 views

Learning from Corrupted Binary Labels via Class-Probability Estimation
Sep 27, 2015
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1929 views
Bandit Learning

Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Pr...
Dec 5, 2015
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1713 views

Simple regret for infinitely many armed bandits
Dec 5, 2015
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2059 views

Cheap Bandits
Dec 5, 2015
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1470 views

Cascading Bandits: Learning to Rank in the Cascade Model
Dec 5, 2015
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1724 views

Qualitative Multi-Armed Bandits: A Quantile-Based Approach
Dec 5, 2015
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1417 views

Efficient Learning in Large-Scale Combinatorial Semi-Bandits
Dec 5, 2015
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1539 views
Deep Learning Computations

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Cov...
Dec 5, 2015
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5892 views

Deep Learning with Limited Numerical Precision
Dec 5, 2015
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2952 views

Compressing Neural Networks with the Hashing Trick
Dec 5, 2015
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3196 views

Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix
Dec 5, 2015
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1811 views

Optimizing Neural Networks with Kronecker-factored Approximate Curvature
Dec 5, 2015
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2241 views
Causality

Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Dec 5, 2015
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1687 views

Towards a Learning Theory of Cause-Effect Inference
Dec 5, 2015
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2058 views

Removing systematic errors for exoplanet search via latent causes
Dec 5, 2015
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2347 views

Discovering Temporal Causal Relations from Subsampled Data
Dec 5, 2015
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1739 views

Telling cause from effect in deterministic linear dynamical systems
Dec 5, 2015
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1813 views

Causal Inference by Identification of Vector Autoregressive Processes with Hidde...
Dec 5, 2015
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1630 views
Matrix Factorization

PU Learning for Matrix Completion
Sep 27, 2015
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2263 views

An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection
Sep 27, 2015
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1892 views

Guaranteed Tensor Decomposition: A Moment Approach
Sep 27, 2015
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2016 views

Low-Rank Matrix Recovery from Row-and-Column Affine Measurements
Sep 27, 2015
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2065 views

Intersecting Faces: Non-negative Matrix Factorization With New Guarantees
Sep 27, 2015
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2119 views

CUR Algorithm for Partially Observed Matrices
Sep 27, 2015
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1823 views
Sparsity I

Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems
Sep 27, 2015
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1696 views

Sparse Subspace Clustering with Missing Entries
Sep 27, 2015
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2176 views

Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing
Sep 27, 2015
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2102 views

Swept Approximate Message Passing for Sparse Estimation
Sep 27, 2015
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1887 views

Complete Dictionary Recovery Using Nonconvex Optimization
Sep 27, 2015
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2196 views
Ranking Learning

Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and T...
Sep 27, 2015
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1732 views

MRA-based Statistical Learning from Incomplete Rankings
Sep 27, 2015
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1568 views

Distributional Rank Aggregation, and an Axiomatic Analysis
Sep 27, 2015
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1450 views

Generalization error bounds for learning to rank: Does the length of document li...
Sep 27, 2015
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1744 views

Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons
Sep 27, 2015
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2069 views

Preference Completion: Large-scale Collaborative Ranking from Pairwise Compariso...
Sep 27, 2015
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0 views
Optimization I

Stochastic Optimization with Importance Sampling for Regularized Loss Minimizati...
Dec 5, 2015
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2202 views

A Lower Bound for the Optimization of Finite Sums
Dec 5, 2015
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1966 views

Stochastic Dual Coordinate Ascent with Adaptive Probabilities
Dec 5, 2015
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1758 views

Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Pro...
Dec 5, 2015
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1979 views
Structured Prediction I

How Hard is Inference for Structured Prediction?
Dec 5, 2015
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1748 views

PeakSeg: constrained optimal segmentation and supervised penalty learning for pe...
Dec 5, 2015
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1596 views

Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs
Dec 5, 2015
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2172 views

Learning Submodular Losses with the Lovasz Hinge
Dec 5, 2015
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1703 views
Reinforcement Learning II

Trust Region Policy Optimization
Dec 5, 2015
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2788 views

Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning
Dec 5, 2015
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1933 views

Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games
Dec 5, 2015
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1299 views

Non-Stationary Approximate Modified Policy Iteration
Dec 5, 2015
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1194 views
Gaussian Processes I

Controversy in mechanistic modelling with Gaussian processes
Sep 27, 2015
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2029 views

A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with S...
Sep 27, 2015
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2228 views

Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods
Sep 27, 2015
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2246 views

Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Sep 27, 2015
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4983 views
Transfer Learning I

An embarrassingly simple approach to zero-shot learning
Sep 27, 2015
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3103 views

Asymmetric Transfer Learning with Deep Gaussian Processes
Sep 27, 2015
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2520 views

Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices
Sep 27, 2015
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1734 views

Active Nearest Neighbors in Changing Environments
Sep 27, 2015
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1529 views
Networks and Graphs I

Consistent estimation of dynamic and multi-layer block models
Sep 27, 2015
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1978 views

Scalable Model Selection for Large-Scale Factorial Relational Models
Sep 27, 2015
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1602 views

A Divide and Conquer Framework for Distributed Graph ClusteringLearning with Mul...
Sep 27, 2015
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1959 views

Community Detection Using Time-Dependent Personalized PageRank
Sep 27, 2015
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2145 views
Deep Learning II

Unsupervised Domain Adaptation by Backpropagation
Dec 5, 2015
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3128 views

Learning Transferable Features with Deep Adaptation Networks
Dec 5, 2015
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2422 views

How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distanc...
Dec 5, 2015
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2118 views

Variational Generative Stochastic Networks with Collaborative Shaping
Dec 5, 2015
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1716 views
Networks and Graphs II

An Aligned Subtree Kernel for Weighted Graphs
Dec 5, 2015
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1495 views

Inferring Graphs from Cascades: A Sparse Recovery Framework
Dec 5, 2015
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1439 views

Correlation Clustering in Data Streams
Dec 5, 2015
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1691 views

HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Ba...
Dec 5, 2015
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1907 views
Online Learning I

Adaptive Belief Propagation
Dec 5, 2015
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1503 views

The Hedge Algorithm on a Continuum
Dec 5, 2015
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1683 views

Strongly Adaptive Online Learning
Dec 5, 2015
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1629 views
Probabilistic Models I

Fixed-point algorithms for learning determinantal point processes
Sep 27, 2015
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1843 views

Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood
Sep 27, 2015
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1676 views

Inference in a Partially Observed Queuing Model with Applications in Ecology
Sep 27, 2015
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1608 views

On the Relationship between Sum-Product Networks and Bayesian Networks
Sep 27, 2015
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2248 views
Learning Theory II

Classification with Low Rank and Missing Data
Sep 27, 2015
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2011 views

Convex Calibrated Surrogates for Hierarchical Classification
Sep 27, 2015
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1602 views

Risk and Regret of Hierarchical Bayesian Learners
Sep 27, 2015
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1345 views

Surrogate Functions for Maximizing Precision at the Top
Sep 27, 2015
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2047 views
Transfer Learning II

Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer
Sep 27, 2015
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1735 views

Convex Formulation for Learning from Positive and Unlabeled Data
Sep 27, 2015
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1816 views

A Probabilistic Model for Dirty Multi-task Feature Selection
Sep 27, 2015
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1611 views

Convex Learning of Multiple Tasks and their Structure
Sep 27, 2015
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1375 views
Deep Learning and Vision

Deep Edge-Aware Filters
Dec 9, 2015
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3292 views

Unsupervised Learning of Video Representations using LSTMs
Dec 5, 2015
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1452 views

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Dec 5, 2015
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3556 views

Online Tracking by Learning Discriminative Saliency Map with Convolutional Neura...
Jan 6, 2016
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2826 views

DRAW: A Recurrent Neural Network For Image Generation
Dec 5, 2015
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1694 views
Bayesian Optimization

Scalable Bayesian Optimization Using Deep Neural Networks
Dec 5, 2015
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1810 views

Safe Exploration for Optimization with Gaussian Processes
Dec 5, 2015
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2039 views

Gradient-based Hyperparameter Optimization through Reversible Learning
Dec 5, 2015
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1665 views

Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
Dec 5, 2015
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1450 views

High Dimensional Bayesian Optimisation and Bandits via Additive Models
Dec 5, 2015
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2383 views
Variational Inference

Markov Chain Monte Carlo and Variational Inference: Bridging the Gap
Dec 5, 2015
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2346 views

A trust-region method for stochastic variational inference with applications to ...
Dec 5, 2015
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1991 views

Variational Inference with Normalizing Flows
Dec 5, 2015
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2416 views

Scalable Variational Inference in Log-supermodular Models
Dec 5, 2015
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1597 views

An Empirical Study of Stochastic Variational Inference Algorithms for the Beta B...
Dec 5, 2015
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1581 views
Large Scale Learning

Coresets for Nonparametric Estimation - the Case of DP-Means
Sep 27, 2015
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1800 views

Large-scale log-determinant computation through stochastic Chebyshev expansions
Sep 27, 2015
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2356 views

Finding Linear Structure in Large Datasets with Scalable Canonical Correlation A...
Sep 27, 2015
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2175 views

K-hyperplane Hinge-Minimax Classifier
Sep 27, 2015
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1600 views

Faster cover trees
Sep 27, 2015
·
1502 views
Structured Prediction II

Learning to Search Better than Your Teacher
Sep 27, 2015
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2019 views

Algorithms for the Hard Pre-Image Problem of String Kernels and the General Prob...
Sep 27, 2015
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1727 views

Learning Fast-Mixing Models for Structured Prediction
Sep 27, 2015
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2123 views

Learning Deep Structured Models
Sep 27, 2015
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3564 views

Learning Scale-Free Networks by Dynamic Node Specific Degree Prior
Sep 27, 2015
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1423 views
Manifold Learning

Learning Local Invariant Mahalanobis Distances
Sep 27, 2015
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1726 views

Landmarking Manifolds with Gaussian Processes
Sep 27, 2015
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1702 views

Subsampling Methods for Persistent Homology
Sep 27, 2015
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1509 views

Bipartite Edge Prediction via Transductive Learning over Product Graphs
Sep 27, 2015
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1545 views

Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transform...
Sep 27, 2015
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2012 views
Gaussian Processes II

Latent Gaussian Processes for Distribution Estimation of Multivariate Categorica...
Dec 5, 2015
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2035 views

Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Proce...
Dec 5, 2015
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1574 views

Finding Galaxies in the Shadows of Quasars with Gaussian Processes
Dec 5, 2015
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1603 views
Monte Carlo Methods

Nested Sequential Monte Carlo Methods
Dec 5, 2015
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2248 views

Exponential Integration for Hamiltonian Monte Carlo
Dec 5, 2015
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1507 views

The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Da...
Dec 5, 2015
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1790 views
Hashing

On Symmetric and Asymmetric LSHs for Inner Product Search
Dec 5, 2015
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1581 views

Hashing for Distributed Data
Dec 5, 2015
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1564 views

Binary Embedding: Fundamental Limits and Fast Algorithm
Dec 5, 2015
·
1729 views
Feature Selection I

Low Rank Approximation using Error Correcting Coding Matrices
Sep 27, 2015
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2174 views

Multiview Triplet Embedding: Learning Attributes in Multiple Maps
Sep 27, 2015
·
1888 views

A Unified Framework for Outlier-Robust PCA-like Algorithms
Sep 27, 2015
·
1667 views
Kernel Methods

A low variance consistent test of relative dependency
Sep 27, 2015
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1484 views

The Kendall and Mallows Kernels for Permutations
Sep 27, 2015
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1725 views

Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale ...
Sep 27, 2015
·
1607 views
Computational Advertising and Social Science

Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View
Sep 27, 2015
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1714 views

Approval Voting and Incentives in Crowdsourcing
Sep 27, 2015
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3534 views

Threshold Influence Model for Allocating Advertising Budgets
Sep 27, 2015
·
1596 views
Optimization II

Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Se...
Dec 5, 2015
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2857 views

Online Learning of Eigenvectors
Dec 5, 2015
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1585 views

A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate
Dec 5, 2015
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1863 views
Approximate Inference I

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Li...
Dec 5, 2015
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1485 views

Reified Context Models
Dec 5, 2015
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1507 views

A Hybrid Approach for Probabilistic Inference using Random Projections
Dec 5, 2015
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1695 views
Bayesian Nonparametrics II

Metadata Dependent Mondrian Processes
Dec 5, 2015
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1212 views

Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparame...
Dec 5, 2015
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1398 views

Bayesian and Empirical Bayesian Forests
Dec 5, 2015
·
1540 views
Time Series Analysis I

Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Stre...
Sep 27, 2015
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3043 views

Moderated and Drifting Linear Dynamical Systems
Sep 27, 2015
·
1763 views

A Multitask Point Process Predictive Model
Sep 27, 2015
·
2299 views
Feature Selection II

Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA
Sep 27, 2015
·
1534 views

Streaming Sparse Principal Component Analysis
Sep 27, 2015
·
1636 views

Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Le...
Sep 27, 2015
·
1376 views
Unsupervised Learning I

Hidden Markov Anomaly Detection
Sep 27, 2015
·
2147 views

Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Sep 27, 2015
·
2147 views

Structural Maxent Models
Sep 27, 2015
·
1982 views
Optimization III

Un-regularizing: approximate proximal point and faster stochastic algorithms for...
Dec 5, 2015
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1666 views

Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order M...
Dec 5, 2015
·
1609 views

Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets
Dec 5, 2015
·
1538 views
Probabilistic Models II

Dealing with small data: On the generalization of context trees
Dec 5, 2015
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1386 views

Vector-Space Markov Random Fields via Exponential Families
Dec 5, 2015
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1484 views

Harmonic Exponential Families on Manifolds
Dec 5, 2015
·
1559 views

Celeste: Variational inference for a generative model of astronomical images
Dec 5, 2015
·
1415 views
Natural Language Processing I

A Linear Dynamical System Model for Text
Dec 5, 2015
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1794 views

A Fast Variational Approach for Learning Markov Random Field Language Models
Dec 5, 2015
·
1617 views

From Word Embeddings To Document Distances
Dec 5, 2015
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3148 views

Learning Word Representations with Hierarchical Sparse Coding
Dec 5, 2015
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2219 views
Submodularity

On Greedy Maximization of Entropy
Sep 27, 2015
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1904 views

Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functio...
Sep 27, 2015
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2110 views

Submodularity in Data Subset Selection and Active Learning
Sep 27, 2015
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1908 views

The Power of Randomization: Distributed Submodular Maximization on Massive Datas...
Sep 27, 2015
·
1759 views
Online Learning II

Online Time Series Prediction with Missing Data
Sep 27, 2015
·
1854 views

On Identifying Good Options under Combinatorially Structured Feedback in Finite ...
Sep 27, 2015
·
1286 views

Following the Perturbed Leader for Online Structured Learning
Sep 27, 2015
·
1278 views

An Online Learning Algorithm for Bilinear Models
Sep 27, 2015
·
1716 views
Unsupervised Learning II

Entropic Graph-based Posterior Regularization
Sep 27, 2015
·
1782 views

Context-based Unsupervised Data Fusion for Decision Making
Sep 27, 2015
·
1454 views

Information Geometry and Minimum Description Length Networks
Sep 27, 2015
·
1511 views

Alpha-Beta Divergences Discover Micro and Macro Structures in Data
Sep 27, 2015
·
1813 views
Deep Learning III

Weight Uncertainty in Neural Network
Dec 5, 2015
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2247 views

Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of...
Dec 5, 2015
·
1780 views

Generative Moment Matching Networks
Dec 5, 2015
·
1713 views

Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
Dec 5, 2015
·
1803 views

MADE: Masked Autoencoder for Distribution Estimation
Dec 5, 2015
·
1677 views
Privacy

Differentially Private Bayesian Optimization
Dec 5, 2015
·
1658 views

The Composition Theorem for Differential Privacy
Dec 5, 2015
·
1623 views

Rademacher Observations, Private Data, and Boosting
Dec 5, 2015
·
1527 views

Is Feature Selection Secure against Training Data Poisoning?
Dec 5, 2015
·
3024 views

Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Dec 5, 2015
·
1707 views
Topic Models

Scalable Deep Poisson Factor Analysis for Topic Modeling
Dec 5, 2015
·
1270 views

Ordinal Mixed Membership Models
Dec 5, 2015
·
949 views

Efficient Training of LDA on a GPU by Mean-for-Mode Estimation
Dec 5, 2015
·
1016 views

Markov Mixed Membership Models
Dec 5, 2015
·
1164 views

Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic...
Dec 5, 2015
·
1149 views
Reinforcement Learning III

Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret
Sep 27, 2015
·
1650 views

Robust partially observable Markov decision process
Sep 27, 2015
·
1543 views

Fictitious Self-Play in Extensive-Form Games
Sep 27, 2015
·
3362 views

A Deeper Look at Planning as Learning from Replay
Sep 27, 2015
·
1528 views

Training Deep Convolutional Neural Networks to Play Go
Sep 27, 2015
·
2752 views
Gaussian Processes III

Improving the Gaussian Process Sparse Spectrum Approximation by Representing Unc...
Sep 27, 2015
·
2242 views

Distributed Gaussian Processes
Sep 27, 2015
·
1863 views

Enabling scalable stochastic gradient-based inference for Gaussian processes by ...
Sep 27, 2015
·
1782 views

Sparse Variational Inference for Generalized GP Models
Sep 27, 2015
·
1600 views
Supervised Learning II

Consistent Multiclass Algorithms for Complex Performance Measures
Sep 27, 2015
·
1565 views

Dynamic Sensing: Better Classification under Acquisition Constraints
Sep 27, 2015
·
1436 views

A New Generalized Error Path Algorithm for Model Selection
Sep 27, 2015
·
1389 views

On the Optimality of Multi-Label Classification under Subset Zero-One Loss for D...
Sep 27, 2015
·
1809 views

Feature-Budgeted Random Forest
Sep 27, 2015
·
1527 views
Reinforcement Learning IV

Abstraction Selection in Model-based Reinforcement Learning
Dec 5, 2015
·
1949 views

Universal Value Function Approximators
Dec 5, 2015
·
2076 views

High Confidence Policy Improvement
Dec 5, 2015
·
1567 views
Optimization IV

Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimiza...
Dec 5, 2015
·
1628 views

Adaptive Stochastic Alternating Direction Method of Multipliers
Dec 5, 2015
·
1899 views

A General Analysis of the Convergence of ADMM
Dec 5, 2015
·
1541 views
Bayesian Nonparametrics III

Distributed Inference for Dirichlet Process Mixture Models
Dec 5, 2015
·
1292 views

A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models
Dec 5, 2015
·
1566 views

Large-scale Distributed Dependent Nonparametric Trees
Dec 5, 2015
·
1477 views
Sparsity II

Geometric Conditions for Subspace-Sparse Recovery
Sep 27, 2015
·
1528 views

Stay on path: PCA along graph paths
Sep 27, 2015
·
1698 views

A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-...
Sep 27, 2015
·
1695 views
Clustering I

A Convex Optimization Framework for Bi-Clustering
Sep 27, 2015
·
1886 views

Multi-Task Learning for Subspace Segmentation
Sep 27, 2015
·
1963 views

Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization
Sep 27, 2015
·
1833 views
Vision

Bayesian Multiple Target Localization
Sep 27, 2015
·
1525 views

Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Appli...
Sep 27, 2015
·
2440 views

Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM
Sep 27, 2015
·
1592 views
Sparse optimization

Tracking Approximate Solutions of Parameterized Optimization Problems over Multi...
Dec 5, 2015
·
1740 views

Mind the duality gap: safer rules for the Lasso
Dec 5, 2015
·
2452 views

A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Anal...
Dec 5, 2015
·
1836 views
Approximate Inference II

Message Passing for Collective Graphical Models
Dec 5, 2015
·
1472 views

Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach
Dec 5, 2015
·
1584 views

The Benefits of Learning with Strongly Convex Approximate Inference
Dec 5, 2015
·
1682 views
Natural Language Processing II

Bimodal Modelling of Source Code and Natural Language
Dec 5, 2015
·
2127 views

Phrase-based Image Captioning
Dec 5, 2015
·
2271 views

Long Short-Term Memory Over Recursive Structures
Dec 5, 2015
·
1806 views
Time Series Analysis II

Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector...
Sep 27, 2015
·
1905 views

Learning Parametric-Output HMMs with Two Aliased States
Sep 27, 2015
·
1423 views

Functional Subspace Clustering with Application to Time Series
Sep 27, 2015
·
2235 views
Clustering II

A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitionin...
Sep 27, 2015
·
1718 views

Spectral Clustering via the Power Method - Provably
Sep 27, 2015
·
1325 views

Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Sp...
Sep 27, 2015
·
1659 views
Learning Theory III

Deterministic Independent Component Analysis
Sep 27, 2015
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