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Clustering Geometry
[syn] 3543 views, 20:54 Solution Stability in Linear Programming Relaxations: Graph Partitioning and Unsupervised LearningSolution Stability in Linear Programming Relaxations: Graph Partitioning and Unsupervised ... Sebastian Nowozin Sebastian Nowozin 1 comment	[syn] 4090 views, 19:09 A Scalable Framework for Discovering Coherent Co-clusters in Noisy DataA Scalable Framework for Discovering Coherent Co-clusters in Noisy Data Meghana Deodhar Meghana Deodhar	[syn] 5126 views, 19:01 Multi-View Clustering via Canonical Correlation AnalysisMulti-View Clustering via Canonical Correlation Analysis Kamalika Chaudhuri Kamalika Chaudhuri	[syn] 6251 views, 19:42 Spectral Clustering Based on the Graph p-LaplacianSpectral Clustering Based on the Graph p-Laplacian Thomas Bühler Thomas Bühler 2 comments	[syn] 5392 views, 20:15 Nearest Neighbors in High-Dimensional Data: The Emergence and Influence of HubsNearest Neighbors in High-Dimensional Data: The Emergence and Influence of ... Miloš Radovanović Miloš Radovanović
Exploration in Reinforcement Learning
[syn] 4223 views, 19:09 The Adaptive k-Meteorologists Problem and Its Application to Structure Learning and Feature Selection in Reinforcement LearningThe Adaptive k-Meteorologists Problem and Its Application to Structure Learning ... Carlos Diuk Carlos Diuk	[syn] 3341 views, 19:41 Near-Bayesian Exploration in Polynomial TimeNear-Bayesian Exploration in Polynomial Time J. Zico Kolter J. Zico Kolter	[syn] 3065 views, 18:27 Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Factored MDPsOptimistic Initialization and Greediness Lead to Polynomial Time Learning in ... Istvan Szita Istvan Szita	[syn] 4463 views, 25:05 Dynamic Analysis of Multiagent Q-learning with e-greedy ExplorationDynamic Analysis of Multiagent Q-learning with e-greedy Exploration Eduardo Rodrigues Gomes Eduardo Rodrigues Gomes	[syn] 4147 views, 20:57 Hoeffding and Bernstein Races for Selecting Policies in Evolutionary Direct Policy SearchHoeffding and Bernstein Races for Selecting Policies in Evolutionary Direct ... Christian Igel Christian Igel
Online Learning
[syn] 5374 views, 18:45 A Simpler Unified Analysis of Budget PerceptronsA Simpler Unified Analysis of Budget Perceptrons Ilya Sutskever Ilya Sutskever	[syn] 3332 views, 22:55 Efficient Learning Algorithms for Changing EnvironmentsEfficient Learning Algorithms for Changing Environments Comandur Seshadhri Comandur Seshadhri	[syn] 5734 views, 21:54 Online Learning by Ellipsoid MethodOnline Learning by Ellipsoid Method Liu Yang Liu Yang	[syn] 4737 views, 21:12 Learning Prediction Suffix Trees with WinnowLearning Prediction Suffix Trees with Winnow Nikos Karampatziakis Nikos Karampatziakis	[syn] 3648 views, 21:31 Identifying Suspicious URLs: An Application of Large-Scale Online LearningIdentifying Suspicious URLs: An Application of Large-Scale Online Learning Justin Ma Justin Ma
Ranking
[syn] 4958 views, 22:50 Ranking with Ordered Weighted Pairwise ClassiﬁcationRanking with Ordered Weighted Pairwise Classiﬁcation Nicolas Usunier Nicolas Usunier	[syn] 4520 views, 19:19 BoltzRank: Learning to Maximize Expected Ranking GainBoltzRank: Learning to Maximize Expected Ranking Gain Maksims Volkovs Maksims Volkovs	[syn] 9552 views, 22:40 Decision Tree and Instance-Based Learning for Label RankingDecision Tree and Instance-Based Learning for Label Ranking Weiwei Cheng Weiwei Cheng 2 comments	[syn] 3013 views, 25:32 Ranking Interesting Subgroups Ranking Interesting Subgroups Stefan Rüping Stefan Rüping	[syn] 4411 views, 24:12 Generalization Analysis of Listwise Learning-to-Rank AlgorithmsGeneralization Analysis of Listwise Learning-to-Rank Algorithms Hang Li Hang Li
Graphs and Embeddings
[syn] 4011 views, 20:38 Fitting a Graph to Vector DataFitting a Graph to Vector Data Samuel I. Daitch Samuel I. Daitch	[syn] 5920 views, 16:32 Structure Preserving Embedding Structure Preserving Embedding Blake Shaw Blake Shaw	[syn] 5682 views, 22:58 Graph Construction and b-Matching for Semi-Supervised LearningGraph Construction and b-Matching for Semi-Supervised Learning Tony Jebara Tony Jebara	[syn] 3247 views, 17:58 Partial Order Embedding with Multiple KernelsPartial Order Embedding with Multiple Kernels Brian McFee Brian McFee	[syn] 3806 views, 16:39 Probabilistic Dyadic Data Analysis with Local and Global ConsistencyProbabilistic Dyadic Data Analysis with Local and Global Consistency Vikas Raykar Vikas Raykar 1 comment
Gaussian Processes
[syn] 10842 views, 21:39 Non-Linear Matrix Factorization with Gaussian ProcessesNon-Linear Matrix Factorization with Gaussian Processes Raquel Urtasun Raquel Urtasun	[syn] 3713 views, 18:55 Analytic Moment-Based Gaussian Process FilteringAnalytic Moment-Based Gaussian Process Filtering Marc Peter Deisenroth Marc Peter Deisenroth	[syn] 4636 views, 20:42 Function Factorization Using Warped Gaussian ProcessesFunction Factorization Using Warped Gaussian Processes Mikkel N. Schmidt Mikkel N. Schmidt	[syn] 5905 views, 23:36 Tractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process IntensitiesTractable Nonparametric Bayesian Inference in Poisson Processes with Gaussian Process ... Ryan Prescott Adams Ryan Prescott Adams	[syn] 3722 views, 24:26 Large-Scale Collaborative Prediction Using a Nonparametric Random Effects ModelLarge-Scale Collaborative Prediction Using a Nonparametric Random Effects Model Kai Yu Kai Yu 1 comment
Dynamical Systems
[syn] 4909 views, 12:56 Hilbert Space Embeddings of Conditional Distributions with Applications to Dynamical SystemsHilbert Space Embeddings of Conditional Distributions with Applications to Dynamical ... Le Song Le Song 1 comment	[syn] 4000 views, 21:53 Learning Nonlinear Dynamic ModelsLearning Nonlinear Dynamic Models Ruslan Salakhutdinov Ruslan Salakhutdinov	[syn] 3566 views, 20:28 Learning Linear Dynamical Systems without Sequence InformationLearning Linear Dynamical Systems without Sequence Information Tzu-Kuo Huang Tzu-Kuo Huang	[syn] 3827 views, 15:48 Dynamic Mixed Membership Block Model for Evolving NetworksDynamic Mixed Membership Block Model for Evolving Networks Le Song Le Song
Learning Codebooks and Dictionaries
[syn] 5128 views, 19:24 Gradient Descent with Sparsiﬁcation: An Iterative Algorithm for Sparse Recovery with Restricted Isometry PropertyGradient Descent with Sparsiﬁcation: An Iterative Algorithm for Sparse Recovery ... Rahul Garg Rahul Garg	[syn] 2950 views, 19:08 Learning Dictionaries of Stable Autoregressive Models for Audio Scene AnalysisLearning Dictionaries of Stable Autoregressive Models for Audio Scene Analysis Youngmin Cho Youngmin Cho	[syn] 34724 views, 21:55 Online Dictionary Learning for Sparse CodingOnline Dictionary Learning for Sparse Coding Julien Mairal Julien Mairal 1 comment	[syn] 3758 views, 20:33 Learning Non-Redundant Codebooks for Classifying Complex ObjectsLearning Non-Redundant Codebooks for Classifying Complex Objects Wei Zhang Wei Zhang	[syn] 3337 views, 18:56 Prototype Vector Machine for Large Scale Semi-Supervised LearningPrototype Vector Machine for Large Scale Semi-Supervised Learning Kai Zhang Kai Zhang
Clustering Algorithms
[syn] 5536 views, 24:46 Multi-Assignment Clustering for Boolean DataMulti-Assignment Clustering for Boolean Data Mario Frank Mario Frank	[syn] 3792 views, 25:03 K-Means in Space: A Radiation Sensitivity EvaluationK-Means in Space: A Radiation Sensitivity Evaluation Kiri L. Wagstaff Kiri L. Wagstaff	[syn] 3994 views, 19:32 Information Theoretic Measures for Clusterings Comparison: Is a Correction for Chance Necessary?Information Theoretic Measures for Clusterings Comparison: Is a Correction for ... Nguyen Xuan Vinh Nguyen Xuan Vinh	[syn] 3591 views, 26:51 Discriminative k-MetricsDiscriminative k-Metrics Arthur Szlam Arthur Szlam
Inference in Probabilistic Models
[syn] 3020 views, 20:31 Orbit-Product Representation and Correction of Gaussian Belief PropagationOrbit-Product Representation and Correction of Gaussian Belief Propagation Jason K. Johnson Jason K. Johnson	[syn] 5336 views, 17:21 Convex Variational Bayesian Inference for Large Scale Generalized Linear ModelsConvex Variational Bayesian Inference for Large Scale Generalized Linear Models Hannes Nickisch Hannes Nickisch	[syn] 4737 views, 19:27 Archipelago: Nonparametric Bayesian Semi-Supervised LearningArchipelago: Nonparametric Bayesian Semi-Supervised Learning Ryan Prescott Adams Ryan Prescott Adams 1 comment	[syn] 3922 views, 19:08 The Bayesian Group-Lasso for Analyzing Contingency Tables The Bayesian Group-Lasso for Analyzing Contingency Tables Sudhir Raman Sudhir Raman	[syn] 3240 views, 18:43 Split Variational InferenceSplit Variational Inference Onno Zoeter Onno Zoeter
Reinforcement Learning with Temporal Differences
[syn] 2808 views, 23:10 Proto-Predictive Representation of States with Simple Recurrent Temporal-Difference NetworksProto-Predictive Representation of States with Simple Recurrent Temporal-Difference Networks Takaki Makino Takaki Makino	[syn] 4035 views, 23:12 Regularization and Feature Selection in Least Squares Temporal-Difference LearningRegularization and Feature Selection in Least Squares Temporal-Difference Learning J. Zico Kolter J. Zico Kolter	[syn] 7406 views, 24:31 Fast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function ApproximationFast Gradient-Descent Methods for Temporal-Difference Learning with Linear Function Approximation Richard S. Sutton Richard S. Sutton 1 comment	[syn] 3079 views, 19:29 Kernelized Value Function Approximation for Reinforcement Learning Kernelized Value Function Approximation for Reinforcement Learning Gavin Taylor Gavin Taylor	[syn] 2652 views, 24:30 Constraint Relaxation in Approximate Linear ProgramsConstraint Relaxation in Approximate Linear Programs Marek Petrik Marek Petrik
Topic Models
[syn] 6768 views, 25:02 Evaluation Methods for Topic Models Evaluation Methods for Topic Models Hanna M. Wallach Hanna M. Wallach	[syn] 4826 views, 18:49 Accounting for Burstiness in Topic ModelsAccounting for Burstiness in Topic Models Gabriel Doyle Gabriel Doyle 1 comment	[syn] 13652 views, 18:46 Topic-Link LDA: Joint Models of Topic and Author Community Topic-Link LDA: Joint Models of Topic and Author Community Yan Liu Yan Liu	[syn] 4130 views, 22:25 MedLDA: Maximum Margin Supervised Topic Models for Regression and ClassiﬁcationMedLDA: Maximum Margin Supervised Topic Models for Regression and Classiﬁcation Jun Zhu Jun Zhu	[syn] 3845 views, 22:46 Independent Factor Topic ModelsIndependent Factor Topic Models Duangmanee (Pew) Putthividhya Duangmanee (Pew) Putthividhya
Weak Supervision
[syn] 4654 views, 24:08 Semi-Supervised Learning Using Label MeanSemi-Supervised Learning Using Label Mean Yu-Feng Li Yu-Feng Li	[syn] 3614 views, 20:44 Partially Supervised Feature Selection with Regularized Linear ModelsPartially Supervised Feature Selection with Regularized Linear Models Thibault Helleputte Thibault Helleputte 1 comment	[syn] 4123 views, 22:51 Optimal Reverse Prediction: A Unified Perspective on Supervised, Unsupervised and Semi-Supervised LearningOptimal Reverse Prediction: A Unified Perspective on Supervised, Unsupervised and ... Linli Xu Linli Xu 8 comments	[syn] 4325 views, 06:05 Supervised Learning from Multiple Experts: Whom to Trust When Everyone Lies a Bit Supervised Learning from Multiple Experts: Whom to Trust When Everyone ... Vikas Raykar Vikas Raykar 2 comments	[syn] 3907 views, 21:32 Good Learners for Evil TeachersGood Learners for Evil Teachers Ofer Dekel Ofer Dekel
Lassos and other L1s
[syn] 4130 views, 24:38 Stochastic Methods for L1 Regularized Loss MinimizationStochastic Methods for L1 Regularized Loss Minimization Ambuj Tewari Ambuj Tewari	[syn] 4433 views, 21:47 Blockwise Coordinate Descent Procedures for the Multi-Task Lasso with Applications to Neural Semantic Basis DiscoveryBlockwise Coordinate Descent Procedures for the Multi-Task Lasso with Applications ... Mark Palatucci Mark Palatucci	[syn] 7246 views, 17:03 An Efficient Projection for L1 Infinity RegularizationAn Efficient Projection for L1 Infinity Regularization Ariadna Quattoni Ariadna Quattoni	[syn] 4277 views, 24:50 An Accelerated Gradient Method for Trace Norm MinimizationAn Accelerated Gradient Method for Trace Norm Minimization Shuiwang Ji Shuiwang Ji	[syn] 8724 views, 24:58 Group Lasso with Overlaps and Graph LassoGroup Lasso with Overlaps and Graph Lasso Laurent Jacob Laurent Jacob
Document Collections
[syn] 3616 views, 23:33 Bayesian Clustering for Email Campaign DetectionBayesian Clustering for Email Campaign Detection Peter Haider Peter Haider	[syn] 4440 views, 26:05 A Novel Lexicalized HMM-Based Learning Framework for Web Opinion MiningA Novel Lexicalized HMM-Based Learning Framework for Web Opinion Mining Wei Jin Wei Jin	[syn] 4037 views, 22:02 Learning Spectral Graph Transformations for Link Prediction Learning Spectral Graph Transformations for Link Prediction Jérôme Kunegis Jérôme Kunegis	[syn] 4491 views, 22:33 Interactively Optimizing Information Retrieval Systems as a Dueling Bandits ProblemInteractively Optimizing Information Retrieval Systems as a Dueling Bandits Problem Yisong Yue Yisong Yue	[syn] 5036 views, 21:20 Transfer Learning for Collaborative Filtering via a Rating-Matrix Generative ModelTransfer Learning for Collaborative Filtering via a Rating-Matrix Generative Model Bin Li Bin Li
Food for Thought
[syn] 8055 views, 22:18 Curriculum LearningCurriculum Learning Yoshua Bengio Yoshua Bengio	[syn] 4697 views, 17:25 Sequential Bayesian Prediction in the Presence of ChangepointsSequential Bayesian Prediction in the Presence of Changepoints Michael Osborne Michael Osborne	[syn] 3662 views, 21:36 Model-Free Reinforcement Learning as Mixture Learning Model-Free Reinforcement Learning as Mixture Learning Nikos Vlassis Nikos Vlassis	[syn] 3050 views, 20:41 Active Learning for Directed Exploration of Complex SystemsActive Learning for Directed Exploration of Complex Systems Michael C. Burl Michael C. Burl
Priors in Probabilistic Models
[syn] 4595 views, 22:10 Bayesian Inference for Plackett-Luce Ranking ModelsBayesian Inference for Plackett-Luce Ranking Models John Guiver John Guiver	[syn] 5505 views, 22:02 Incorporating Domain Knowledge into Topic Modeling via Dirichlet Forest PriorsIncorporating Domain Knowledge into Topic Modeling via Dirichlet Forest Priors David Andrzejewski David Andrzejewski	[syn] 6489 views, 16:25 Nonparametric Factor Analysis with Beta Process PriorsNonparametric Factor Analysis with Beta Process Priors John Paisley John Paisley	[syn] 6516 views, 17:31 Accelerated Gibbs Sampling for the Indian Buffet Process Accelerated Gibbs Sampling for the Indian Buffet Process Finale Doshi Finale Doshi	[syn] 6475 views, 24:59 A Stochastic Memoizer for Sequence Data A Stochastic Memoizer for Sequence Data Frank Wood Frank Wood 1 comment
Reinforcement Learning in High Order Environments
[syn] 4441 views, 21:58 Binary Action Search for Learning Continuous-Action Control PoliciesBinary Action Search for Learning Continuous-Action Control Policies Jason Pazis Jason Pazis	[syn] 3738 views, 22:35 Predictive Representations for Policy Gradient in POMDPsPredictive Representations for Policy Gradient in POMDPs Abdeslam Boularias Abdeslam Boularias	[syn] 4656 views, 21:58 Stochastic Search Using the Natural GradientStochastic Search Using the Natural Gradient Sun Yi Sun Yi	[syn] 3242 views, 21:09 Approximate Inference for Planning in Stochastic Relational Worlds Approximate Inference for Planning in Stochastic Relational Worlds Tobias Lang Tobias Lang	[syn] 2970 views, 28:33 Discovering Options from Example TrajectoriesDiscovering Options from Example Trajectories Peng Zang Peng Zang
Learning Theory
[syn] 3958 views, 22:45 Nonparametric Estimation of the Precision-Recall CurveNonparametric Estimation of the Precision-Recall Curve Nicolas Vayatis Nicolas Vayatis	[syn] 3120 views, 20:52 Surrogate Regret Bounds for Proper LossesSurrogate Regret Bounds for Proper Losses Mark Reid Mark Reid	[syn] 3867 views, 19:58 Robust Bounds for Classification via Selective SamplingRobust Bounds for Classification via Selective Sampling Francesco Orabona Francesco Orabona	[syn] 4106 views, 24:21 PAC-Bayesian Learning of Linear ClassifiersPAC-Bayesian Learning of Linear Classifiers Mario Marchand Mario Marchand	[syn] 2814 views, 20:32 Piecewise-Stationary Bandit Problems with Side ObservationsPiecewise-Stationary Bandit Problems with Side Observations Jia Yuan Yu Jia Yuan Yu
Paul Utgoff Memorial Session: Learning for Discrete Problems
[syn] 3086 views, 19:41 Bandit-Based Optimization on Graphs with Application to Library Performance TuningBandit-Based Optimization on Graphs with Application to Library Performance Tuning Arpad Rimmel Arpad Rimmel	[syn] 3333 views, 20:02 Robust Feature Extraction via Information Theoretic LearningRobust Feature Extraction via Information Theoretic Learning Xiao-Tong Yuan Xiao-Tong Yuan	[syn] 2789 views, 22:00 Block-Wise Construction of Acyclic Relational Features with Monotone Irreducibility and Relevancy Properties Block-Wise Construction of Acyclic Relational Features with Monotone Irreducibility and ... Ondřej Kuželka Ondřej Kuželka	[syn] 2759 views, 19:40 Rule Learning with Monotonicity Constraints Rule Learning with Monotonicity Constraints Wojciech Kotlowski Wojciech Kotlowski	[syn] 3302 views, 16:26 Grammatical Inference as a Principal Component Analysis ProblemGrammatical Inference as a Principal Component Analysis Problem Raphaël Bailly Raphaël Bailly
Structured Learning: Metric Learning
[syn] 2939 views, 23:02 Polyhedral Outer Approximations with Application to Natural Language ParsingPolyhedral Outer Approximations with Application to Natural Language Parsing André F. T. Martins André F. T. Martins	[syn] 2996 views, 12:34 On Primal and Dual Sparsity of Markov NetworksOn Primal and Dual Sparsity of Markov Networks Jun Zhu Jun Zhu	[syn] 10134 views, 22:50 Learning Structural SVMs with Latent Variables Learning Structural SVMs with Latent Variables Chun-Nam Yu Chun-Nam Yu	[syn] 4641 views, 11:23 An Efficient Sparse Metric Learning in High-Dimensional Space via L1-Penalized Log-Determinant RegularizationAn Efficient Sparse Metric Learning in High-Dimensional Space via L1-Penalized ... Guo-Jun Qi Guo-Jun Qi	[syn] 3054 views, 20:17 Learning Instance Specific Distances Using Metric PropagationLearning Instance Specific Distances Using Metric Propagation De-Chuan Zhan De-Chuan Zhan
Deep Architectures
[syn] 27332 views, 19:52 Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical RepresentationsConvolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical ... Honglak Lee Honglak Lee 1 comment	[syn] 7806 views, 21:08 Using Fast Weights to Improve Persistent Contrastive DivergenceUsing Fast Weights to Improve Persistent Contrastive Divergence Tijmen Tieleman Tijmen Tieleman	[syn] 5495 views, 19:19 Large-Scale Deep Unsupervised Learning Using Graphics ProcessorsLarge-Scale Deep Unsupervised Learning Using Graphics Processors Rajat Raina Rajat Raina	[syn] 7084 views, 20:46 Factored Conditional Restricted Boltzmann Machines for Modeling Motion StyleFactored Conditional Restricted Boltzmann Machines for Modeling Motion Style Graham Taylor Graham Taylor	[syn] 6699 views, 18:07 Deep Learning from Temporal Coherence in VideoDeep Learning from Temporal Coherence in Video Ronan Collobert Ronan Collobert 1 comment
Learning Actions and Sequences
[syn] 4421 views, 25:04 Robot Trajectory Optimization Using Approximate Inference Robot Trajectory Optimization Using Approximate Inference Marc Toussaint Marc Toussaint 1 comment	[syn] 3436 views, 18:04 Trajectory Prediction: Learning to Map Situations to Robot TrajectoriesTrajectory Prediction: Learning to Map Situations to Robot Trajectories Nikolay Jetchev Nikolay Jetchev	[syn] 2978 views, 21:33 Learning Complex Motions by Sequencing Simpler Motion TemplatesLearning Complex Motions by Sequencing Simpler Motion Templates Gerhard Neumann Gerhard Neumann	[syn] 3627 views, 23:21 Learning When to Stop Thinking and Do Something!Learning When to Stop Thinking and Do Something! Barnabás Póczos Barnabás Póczos	[syn] 5132 views, 35:22 Monte-Carlo Simulation BalancingMonte-Carlo Simulation Balancing David Silver David Silver
Boosting
[syn] 3699 views, 20:20 Boosting Products of Base Classiﬁers Boosting Products of Base Classiﬁers Balázs Kégl Balázs Kégl	[syn] 3754 views, 20:40 ABC-Boost: Adaptive Base Class Boost for Multi-Class ClassiﬁcationABC-Boost: Adaptive Base Class Boost for Multi-Class Classiﬁcation Ping Li Ping Li	[syn] 3026 views, 22:07 Compositional Noisy-Logical LearningCompositional Noisy-Logical Learning Alan L. Yuille Alan L. Yuille	[syn] 3953 views, 22:15 Boosting with Structural SparsityBoosting with Structural Sparsity John Duchi John Duchi	[syn] 6102 views, 25:53 Learning with Structured SparsityLearning with Structured Sparsity Junzhou Huang Junzhou Huang

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Topic taxonomy

Type of content

Language

Year

Sessions

Event sections

Clustering Geometry

Exploration in Reinforcement Learning

Online Learning

Ranking

Graphs and Embeddings

Gaussian Processes

Dynamical Systems

Learning Codebooks and Dictionaries

Clustering Algorithms

Inference in Probabilistic Models

Reinforcement Learning with Temporal Differences

Topic Models

Weak Supervision

Lassos and other L1s

Document Collections

Food for Thought

Priors in Probabilistic Models

Reinforcement Learning in High Order Environments

Learning Theory

Paul Utgoff Memorial Session: Learning for Discrete Problems

Structured Learning: Metric Learning

Deep Architectures

Learning Actions and Sequences

Boosting

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