32nd International Conference on Machine Learning (ICML), Lille 2015
265 Lectures · Jul 5, 2015
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ICML 2015 is the leading international machine learning conference and is supported by the International Machine Learning Society (IMLS).
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Uploaded videos:
Tutorials
Natural Language Understanding: Foundations and State-of-the-Art
Dec 05, 2015
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6633 Views
Advances in Structured Prediction
Dec 05, 2015
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4279 Views
Modern Convex Optimization Methods for Large-scale Empirical Risk Minimization
Dec 05, 2015
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4095 Views
Bayesian Time Series Modeling: Structured Representations for Scalability
Dec 05, 2015
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4103 Views
Computational Social Science
Dec 05, 2015
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3308 Views
Policy Search: Methods and Applications
Dec 05, 2015
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4341 Views
Welcome Address
Welcome address
Dec 05, 2015
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3285 Views
Keynote Speakers
Two high stakes challenges in machine learning
Dec 05, 2015
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11802 Views
Learning Treatment Policies in Mobile Health
Dec 05, 2015
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1585 Views
Social Interaction in Global Networks
Dec 05, 2015
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2320 Views
Awards
A Nearly-Linear Time Framework for Graph-Structured Sparsity
Dec 05, 2015
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1876 Views
Learning to Rank Using Gradient Descent
Dec 05, 2015
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3983 Views
Deep Learning I
Learning Program Embeddings to Propagate Feedback on Student Code
Dec 05, 2015
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2139 Views
BilBOWA: Fast Bilingual Distributed Representations without Word Alignments
Dec 05, 2015
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2018 Views
Modeling Order in Neural Word Embeddings at Scale
Dec 05, 2015
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2681 Views
Gated Feedback Recurrent Neural Networks
Dec 05, 2015
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2882 Views
An Empirical Exploration of Recurrent Network Architectures
Dec 05, 2015
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3215 Views
Distributed Optimization
PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent
Dec 05, 2015
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1766 Views
An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimi...
Dec 05, 2015
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2065 Views
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss
Dec 05, 2015
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1888 Views
Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM
Dec 05, 2015
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2287 Views
Adding vs. Averaging in Distributed Primal-Dual Optimization
Dec 05, 2015
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1896 Views
Bayesian Nonparametrics I
A Bayesian nonparametric procedure for comparing algorithms
Dec 05, 2015
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1523 Views
Manifold-valued Dirichlet Processes
Dec 05, 2015
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1775 Views
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes
Dec 05, 2015
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1522 Views
Atomic Spatial Processes
Dec 05, 2015
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1622 Views
DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asympto...
Dec 05, 2015
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1690 Views
Reinforcement Learning I
Large-Scale Markov Decision Problems with KL Control Cost and its Application to...
Sep 27, 2015
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2261 Views
Off-policy Model-based Learning under Unknown Factored Dynamics
Sep 27, 2015
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1755 Views
A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling ...
Sep 27, 2015
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2306 Views
Learning Theory I
Entropy-Based Concentration Inequalities for Dependent Variables
Sep 27, 2015
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1954 Views
The Ladder: A Reliable Leaderboard for Machine Learning Competitions
Sep 27, 2015
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2112 Views
Theory of Dual-sparse Regularized Randomized Reduction
Sep 27, 2015
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1893 Views
A Theoretical Analysis of Metric Hypothesis Transfer Learning
Sep 27, 2015
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1771 Views
Optimizing Non-decomposable Performance Measures: A Tale of Two Classes
Sep 27, 2015
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1889 Views
Supervised Learning I
Learning from Corrupted Binary Labels via Class-Probability Estimation
Sep 27, 2015
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1922 Views
Multi-instance multi-label learning in the presence of novel class instances
Sep 27, 2015
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2341 Views
Entropy evaluation based on confidence intervals of frequency estimates: Applica...
Sep 27, 2015
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1476 Views
Support Matrix Machines
Sep 27, 2015
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2447 Views
Attribute Efficient Linear Regression with Distribution-Dependent Sampling
Sep 27, 2015
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1841 Views
Bandit Learning
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Pr...
Dec 05, 2015
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1706 Views
Simple regret for infinitely many armed bandits
Dec 05, 2015
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2056 Views
Efficient Learning in Large-Scale Combinatorial Semi-Bandits
Dec 05, 2015
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1531 Views
Cascading Bandits: Learning to Rank in the Cascade Model
Dec 05, 2015
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1720 Views
Cheap Bandits
Dec 05, 2015
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1469 Views
Qualitative Multi-Armed Bandits: A Quantile-Based Approach
Dec 05, 2015
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1414 Views
Deep Learning Computations
Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix
Dec 05, 2015
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1804 Views
Compressing Neural Networks with the Hashing Trick
Dec 05, 2015
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3186 Views
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Cov...
Dec 05, 2015
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5883 Views
Optimizing Neural Networks with Kronecker-factored Approximate Curvature
Dec 05, 2015
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2234 Views
Deep Learning with Limited Numerical Precision
Dec 05, 2015
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2943 Views
Causality
Removing systematic errors for exoplanet search via latent causes
Dec 05, 2015
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2344 Views
Towards a Learning Theory of Cause-Effect Inference
Dec 05, 2015
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2055 Views
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Dec 05, 2015
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1684 Views
Telling cause from effect in deterministic linear dynamical systems
Dec 05, 2015
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1809 Views
Causal Inference by Identification of Vector Autoregressive Processes with Hidde...
Dec 05, 2015
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1626 Views
Discovering Temporal Causal Relations from Subsampled Data
Dec 05, 2015
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1737 Views
Matrix Factorization
Guaranteed Tensor Decomposition: A Moment Approach
Sep 27, 2015
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2011 Views
PU Learning for Matrix Completion
Sep 27, 2015
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2259 Views
Low-Rank Matrix Recovery from Row-and-Column Affine Measurements
Sep 27, 2015
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2060 Views
Intersecting Faces: Non-negative Matrix Factorization With New Guarantees
Sep 27, 2015
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2114 Views
CUR Algorithm for Partially Observed Matrices
Sep 27, 2015
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1818 Views
An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection
Sep 27, 2015
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1887 Views
Sparsity I
Swept Approximate Message Passing for Sparse Estimation
Sep 27, 2015
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1881 Views
Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing
Sep 27, 2015
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2063 Views
Sparse Subspace Clustering with Missing Entries
Sep 27, 2015
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2174 Views
Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems
Sep 27, 2015
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1693 Views
Complete Dictionary Recovery Using Nonconvex Optimization
Sep 27, 2015
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2192 Views
Ranking Learning
Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and T...
Sep 27, 2015
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1730 Views
MRA-based Statistical Learning from Incomplete Rankings
Sep 27, 2015
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1565 Views
Distributional Rank Aggregation, and an Axiomatic Analysis
Sep 27, 2015
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1446 Views
Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons
Sep 27, 2015
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2066 Views
Generalization error bounds for learning to rank: Does the length of document li...
Sep 27, 2015
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1741 Views
Optimization I
A Lower Bound for the Optimization of Finite Sums
Dec 05, 2015
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1961 Views
Stochastic Optimization with Importance Sampling for Regularized Loss Minimizati...
Dec 05, 2015
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2199 Views
Stochastic Dual Coordinate Ascent with Adaptive Probabilities
Dec 05, 2015
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1755 Views
Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Pro...
Dec 05, 2015
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1973 Views
Structured Prediction I
How Hard is Inference for Structured Prediction?
Dec 05, 2015
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1745 Views
Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs
Dec 05, 2015
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2148 Views
Learning Submodular Losses with the Lovasz Hinge
Dec 05, 2015
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1695 Views
PeakSeg: constrained optimal segmentation and supervised penalty learning for pe...
Dec 05, 2015
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1591 Views
Reinforcement Learning II
Trust Region Policy Optimization
Dec 05, 2015
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2785 Views
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning
Dec 05, 2015
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1928 Views
Gaussian Processes I
Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods
Sep 27, 2015
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2237 Views
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with S...
Sep 27, 2015
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2224 Views
Controversy in mechanistic modelling with Gaussian processes
Sep 27, 2015
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2027 Views
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Sep 27, 2015
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4958 Views
Transfer Learning I
Active Nearest Neighbors in Changing Environments
Sep 27, 2015
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1527 Views
Asymmetric Transfer Learning with Deep Gaussian Processes
Sep 27, 2015
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2517 Views
An embarrassingly simple approach to zero-shot learning
Sep 27, 2015
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3099 Views
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices
Sep 27, 2015
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1729 Views
Networks and Graphs I
A Divide and Conquer Framework for Distributed Graph ClusteringLearning with Mul...
Sep 27, 2015
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1957 Views
Scalable Model Selection for Large-Scale Factorial Relational Models
Sep 27, 2015
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1599 Views
Consistent estimation of dynamic and multi-layer block models
Sep 27, 2015
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1975 Views
Community Detection Using Time-Dependent Personalized PageRank
Sep 27, 2015
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2134 Views
Deep Learning II
Variational Generative Stochastic Networks with Collaborative Shaping
Dec 05, 2015
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1713 Views
How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distanc...
Dec 05, 2015
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2113 Views
Unsupervised Domain Adaptation by Backpropagation
Dec 05, 2015
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3124 Views
Learning Transferable Features with Deep Adaptation Networks
Dec 05, 2015
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2416 Views
Networks and Graphs II
Correlation Clustering in Data Streams
Dec 05, 2015
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1689 Views
An Aligned Subtree Kernel for Weighted Graphs
Dec 05, 2015
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1492 Views
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Ba...
Dec 05, 2015
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1902 Views
Inferring Graphs from Cascades: A Sparse Recovery Framework
Dec 05, 2015
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1435 Views
Online Learning I
Strongly Adaptive Online Learning
Dec 05, 2015
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1625 Views
Adaptive Belief Propagation
Dec 05, 2015
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1499 Views
The Hedge Algorithm on a Continuum
Dec 05, 2015
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1677 Views
Probabilistic Models I
Inference in a Partially Observed Queuing Model with Applications in Ecology
Sep 27, 2015
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1602 Views
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood
Sep 27, 2015
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1671 Views
On the Relationship between Sum-Product Networks and Bayesian Networks
Sep 27, 2015
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2240 Views
Fixed-point algorithms for learning determinantal point processes
Sep 27, 2015
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1840 Views
Learning Theory II
Convex Calibrated Surrogates for Hierarchical Classification
Sep 27, 2015
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1597 Views
Risk and Regret of Hierarchical Bayesian Learners
Sep 27, 2015
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1343 Views
Classification with Low Rank and Missing Data
Sep 27, 2015
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2006 Views
Surrogate Functions for Maximizing Precision at the Top
Sep 27, 2015
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2044 Views
Transfer Learning II
Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer
Sep 27, 2015
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1733 Views
A Probabilistic Model for Dirty Multi-task Feature Selection
Sep 27, 2015
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1605 Views
Convex Learning of Multiple Tasks and their Structure
Sep 27, 2015
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1373 Views
Convex Formulation for Learning from Positive and Unlabeled Data
Sep 27, 2015
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1812 Views
Deep Learning and Vision
Deep Edge-Aware Filters
Dec 09, 2015
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3284 Views
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Dec 05, 2015
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3554 Views
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neura...
Jan 06, 2016
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2819 Views
Bayesian Optimization
Gradient-based Hyperparameter Optimization through Reversible Learning
Dec 05, 2015
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1663 Views
Scalable Bayesian Optimization Using Deep Neural Networks
Dec 05, 2015
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1806 Views
High Dimensional Bayesian Optimisation and Bandits via Additive Models
Dec 05, 2015
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2374 Views
Safe Exploration for Optimization with Gaussian Processes
Dec 05, 2015
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2037 Views
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
Dec 05, 2015
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1445 Views
Variational Inference
A trust-region method for stochastic variational inference with applications to ...
Dec 05, 2015
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1984 Views
Variational Inference with Normalizing Flows
Dec 05, 2015
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2404 Views
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap
Dec 05, 2015
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2341 Views
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta B...
Dec 05, 2015
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1578 Views
Scalable Variational Inference in Log-supermodular Models
Dec 05, 2015
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1594 Views
Large Scale Learning
Coresets for Nonparametric Estimation - the Case of DP-Means
Sep 27, 2015
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1796 Views
K-hyperplane Hinge-Minimax Classifier
Sep 27, 2015
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1564 Views
Faster cover trees
Sep 27, 2015
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1497 Views
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation A...
Sep 27, 2015
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2169 Views
Large-scale log-determinant computation through stochastic Chebyshev expansions
Sep 27, 2015
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2340 Views
Structured Prediction II
Algorithms for the Hard Pre-Image Problem of String Kernels and the General Prob...
Sep 27, 2015
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1720 Views
Learning Scale-Free Networks by Dynamic Node Specific Degree Prior
Sep 27, 2015
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1417 Views
Learning Deep Structured Models
Sep 27, 2015
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3559 Views
Learning to Search Better than Your Teacher
Sep 27, 2015
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2013 Views
Learning Fast-Mixing Models for Structured Prediction
Sep 27, 2015
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2112 Views
Manifold Learning
Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transform...
Sep 27, 2015
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2005 Views
Learning Local Invariant Mahalanobis Distances
Sep 27, 2015
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1723 Views
Landmarking Manifolds with Gaussian Processes
Sep 27, 2015
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1700 Views
Subsampling Methods for Persistent Homology
Sep 27, 2015
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1505 Views
Bipartite Edge Prediction via Transductive Learning over Product Graphs
Sep 27, 2015
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1538 Views
Gaussian Processes II
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorica...
Dec 05, 2015
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2024 Views
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Proce...
Dec 05, 2015
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1571 Views
Finding Galaxies in the Shadows of Quasars with Gaussian Processes
Dec 05, 2015
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1600 Views
Monte Carlo Methods
Exponential Integration for Hamiltonian Monte Carlo
Dec 05, 2015
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1499 Views
Nested Sequential Monte Carlo Methods
Dec 05, 2015
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2241 Views
The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Da...
Dec 05, 2015
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1752 Views
Hashing
Binary Embedding: Fundamental Limits and Fast Algorithm
Dec 05, 2015
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1725 Views
Hashing for Distributed Data
Dec 05, 2015
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1562 Views
On Symmetric and Asymmetric LSHs for Inner Product Search
Dec 05, 2015
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1578 Views
Feature Selection I
Multiview Triplet Embedding: Learning Attributes in Multiple Maps
Sep 27, 2015
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1886 Views
Low Rank Approximation using Error Correcting Coding Matrices
Sep 27, 2015
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2169 Views
A Unified Framework for Outlier-Robust PCA-like Algorithms
Sep 27, 2015
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1664 Views
Kernel Methods
A low variance consistent test of relative dependency
Sep 27, 2015
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1482 Views
Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale ...
Sep 27, 2015
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1604 Views
The Kendall and Mallows Kernels for Permutations
Sep 27, 2015
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1720 Views
Computational Advertising and Social Science
Threshold Influence Model for Allocating Advertising Budgets
Sep 27, 2015
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1593 Views
Approval Voting and Incentives in Crowdsourcing
Sep 27, 2015
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3525 Views
Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View
Sep 27, 2015
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1700 Views
Optimization II
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Se...
Dec 05, 2015
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2851 Views
A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate
Dec 05, 2015
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1859 Views
Online Learning of Eigenvectors
Dec 05, 2015
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1581 Views
Approximate Inference I
A Hybrid Approach for Probabilistic Inference using Random Projections
Dec 05, 2015
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1689 Views
Reified Context Models
Dec 05, 2015
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1496 Views
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Li...
Dec 05, 2015
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1481 Views
Bayesian Nonparametrics II
Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparame...
Dec 05, 2015
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1394 Views
Bayesian and Empirical Bayesian Forests
Dec 05, 2015
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1538 Views
Metadata Dependent Mondrian Processes
Dec 05, 2015
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1210 Views
Time Series Analysis I
Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Stre...
Sep 27, 2015
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3038 Views
A Multitask Point Process Predictive Model
Sep 27, 2015
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2294 Views
Moderated and Drifting Linear Dynamical Systems
Sep 27, 2015
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1758 Views
Feature Selection II
Streaming Sparse Principal Component Analysis
Sep 27, 2015
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1629 Views
Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA
Sep 27, 2015
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1497 Views
Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Le...
Sep 27, 2015
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1371 Views
Unsupervised Learning I
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Sep 27, 2015
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2137 Views
Structural Maxent Models
Sep 27, 2015
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1976 Views
Hidden Markov Anomaly Detection
Sep 27, 2015
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2145 Views
Optimization III
Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets
Dec 05, 2015
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1535 Views
Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order M...
Dec 05, 2015
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1604 Views
Un-regularizing: approximate proximal point and faster stochastic algorithms for...
Dec 05, 2015
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1662 Views
Probabilistic Models II
Harmonic Exponential Families on Manifolds
Dec 05, 2015
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1556 Views
Celeste: Variational inference for a generative model of astronomical images
Dec 05, 2015
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1409 Views
Vector-Space Markov Random Fields via Exponential Families
Dec 05, 2015
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1483 Views
Dealing with small data: On the generalization of context trees
Dec 05, 2015
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1382 Views
Natural Language Processing I
Learning Word Representations with Hierarchical Sparse Coding
Dec 05, 2015
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2214 Views
A Linear Dynamical System Model for Text
Dec 05, 2015
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1792 Views
From Word Embeddings To Document Distances
Dec 05, 2015
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3134 Views
A Fast Variational Approach for Learning Markov Random Field Language Models
Dec 05, 2015
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1614 Views
Submodularity
On Greedy Maximization of Entropy
Sep 27, 2015
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1901 Views
Submodularity in Data Subset Selection and Active Learning
Sep 27, 2015
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1905 Views
Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functio...
Sep 27, 2015
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2106 Views
The Power of Randomization: Distributed Submodular Maximization on Massive Datas...
Sep 27, 2015
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1756 Views
Online Learning II
An Online Learning Algorithm for Bilinear Models
Sep 27, 2015
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1713 Views
Online Time Series Prediction with Missing Data
Sep 27, 2015
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1846 Views
On Identifying Good Options under Combinatorially Structured Feedback in Finite ...
Sep 27, 2015
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1283 Views
Following the Perturbed Leader for Online Structured Learning
Sep 27, 2015
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1271 Views
Unsupervised Learning II
Entropic Graph-based Posterior Regularization
Sep 27, 2015
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1773 Views
Information Geometry and Minimum Description Length Networks
Sep 27, 2015
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1506 Views
Context-based Unsupervised Data Fusion for Decision Making
Sep 27, 2015
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1454 Views
Alpha-Beta Divergences Discover Micro and Macro Structures in Data
Sep 27, 2015
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1809 Views
Deep Learning III
Weight Uncertainty in Neural Network
Dec 05, 2015
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2241 Views
MADE: Masked Autoencoder for Distribution Estimation
Dec 05, 2015
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1673 Views
Generative Moment Matching Networks
Dec 05, 2015
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1704 Views
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
Dec 05, 2015
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1800 Views
Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of...
Dec 05, 2015
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1777 Views
Privacy
Is Feature Selection Secure against Training Data Poisoning?
Dec 05, 2015
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3020 Views
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Dec 05, 2015
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1703 Views
Rademacher Observations, Private Data, and Boosting
Dec 05, 2015
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1524 Views
The Composition Theorem for Differential Privacy
Dec 05, 2015
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1620 Views
Differentially Private Bayesian Optimization
Dec 05, 2015
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1654 Views
Topic Models
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic...
Dec 05, 2015
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1146 Views
Reinforcement Learning III
Training Deep Convolutional Neural Networks to Play Go
Sep 27, 2015
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2750 Views
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret
Sep 27, 2015
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1648 Views
Robust partially observable Markov decision process
Sep 27, 2015
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1538 Views
Fictitious Self-Play in Extensive-Form Games
Sep 27, 2015
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3351 Views
A Deeper Look at Planning as Learning from Replay
Sep 27, 2015
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1524 Views
Gaussian Processes III
Distributed Gaussian Processes
Sep 27, 2015
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1860 Views
Enabling scalable stochastic gradient-based inference for Gaussian processes by ...
Sep 27, 2015
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1774 Views
Improving the Gaussian Process Sparse Spectrum Approximation by Representing Unc...
Sep 27, 2015
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2235 Views
Sparse Variational Inference for Generalized GP Models
Sep 27, 2015
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1597 Views
Supervised Learning II
On the Optimality of Multi-Label Classification under Subset Zero-One Loss for D...
Sep 27, 2015
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1803 Views
Consistent Multiclass Algorithms for Complex Performance Measures
Sep 27, 2015
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1564 Views
Feature-Budgeted Random Forest
Sep 27, 2015
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1524 Views
A New Generalized Error Path Algorithm for Model Selection
Sep 27, 2015
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1387 Views
Dynamic Sensing: Better Classification under Acquisition Constraints
Sep 27, 2015
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1430 Views
Reinforcement Learning IV
Universal Value Function Approximators
Dec 05, 2015
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2070 Views
High Confidence Policy Improvement
Dec 05, 2015
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1563 Views
Abstraction Selection in Model-based Reinforcement Learning
Dec 05, 2015
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1944 Views
Optimization IV
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimiza...
Dec 05, 2015
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1625 Views
Adaptive Stochastic Alternating Direction Method of Multipliers
Dec 05, 2015
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1898 Views
A General Analysis of the Convergence of ADMM
Dec 05, 2015
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1538 Views
Bayesian Nonparametrics III
A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models
Dec 05, 2015
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1564 Views
Distributed Inference for Dirichlet Process Mixture Models
Dec 05, 2015
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1289 Views
Large-scale Distributed Dependent Nonparametric Trees
Dec 05, 2015
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1472 Views
Sparsity II
A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-...
Sep 27, 2015
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1692 Views
Stay on path: PCA along graph paths
Sep 27, 2015
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1696 Views
Geometric Conditions for Subspace-Sparse Recovery
Sep 27, 2015
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1525 Views
Clustering I
A Convex Optimization Framework for Bi-Clustering
Sep 27, 2015
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1882 Views
Multi-Task Learning for Subspace Segmentation
Sep 27, 2015
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1958 Views
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization
Sep 27, 2015
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1830 Views
Vision
Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM
Sep 27, 2015
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1586 Views
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Appli...
Sep 27, 2015
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2436 Views
Bayesian Multiple Target Localization
Sep 27, 2015
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1520 Views
Sparse optimization
Mind the duality gap: safer rules for the Lasso
Dec 05, 2015
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2448 Views
Tracking Approximate Solutions of Parameterized Optimization Problems over Multi...
Dec 05, 2015
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1738 Views
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Anal...
Dec 05, 2015
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1828 Views
Approximate Inference II
The Benefits of Learning with Strongly Convex Approximate Inference
Dec 05, 2015
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1674 Views
Message Passing for Collective Graphical Models
Dec 05, 2015
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1468 Views
Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach
Dec 05, 2015
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1575 Views
Natural Language Processing II
Phrase-based Image Captioning
Dec 05, 2015
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2266 Views
Long Short-Term Memory Over Recursive Structures
Dec 05, 2015
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1803 Views
Bimodal Modelling of Source Code and Natural Language
Dec 05, 2015
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2123 Views
Time Series Analysis II
Learning Parametric-Output HMMs with Two Aliased States
Sep 27, 2015
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1419 Views
Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector...
Sep 27, 2015
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1898 Views
Functional Subspace Clustering with Application to Time Series
Sep 27, 2015
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2232 Views
Clustering II
Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Sp...
Sep 27, 2015
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1656 Views
A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitionin...
Sep 27, 2015
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1716 Views
Learning Theory III
Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lowe...
Sep 27, 2015
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1730 Views
Deterministic Independent Component Analysis
Sep 27, 2015
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1796 Views
Convergence rate of Bayesian tensor estimator and its minimax optimality
Sep 27, 2015
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1532 Views