Saturday Morning Videos: New videos of ICML 2015 in Lille

Rich Sutton locked out of the RL workshop at #nips2015 because it's too full :) pic.twitter.com/VutJwIAYW0

— Nando de Freitas (@NandoDF) December 11, 2015

As NIPS sessions have to turn away people, here are some videos of ICML this past summer. A month ago we mentioned some of these videos but here are some new ones:

Tutorials
13 views, 2:04:30   Tutorial Natural Language Understanding: Foundations and State-of-the-Art Percy Liang	14 views, 1:10:55   Tutorial Advances in Structured Prediction Hal Daumé III	9 views, 54:29   Tutorial Modern Convex Optimization Methods for Large-scale Empirical Risk Minimization Mark Schmidt	12 views, 1:55:23     Tutorial Bayesian Time Series Modeling: Structured Representations for Scalability Emily Fox
6 views, 2:01:20   Tutorial Computational Social Science Hanna M. Wallach 6 views, 2:18:53   Tutorial Policy Search: Methods and Applications Gerhard Neumann, Jan Peters
Welcome Address
5 views, 09:27   Welcome address Joelle Pineau, David Blei, Francis R. Bach
Keynote Speakers
15 views, 41:17   Keynote Two high stakes challenges in machine learning Léon Bottou	2 views, 52:12   Keynote Learning Treatment Policies in Mobile Health Susan A. Murphy	6 views, 1:06:13   Keynote Social Interaction in Global Networks Jon Kleinberg
Awards
19:07   Best Paper Award A Nearly-Linear Time Framework for Graph-Structured Sparsity Ludwig Schmidt	7 views, 15:09   Test of Time Award Learning to Rank Using Gradient Descent Chris Burges
Deep Learning I
2 views, 15:58   Learning Program Embeddings to Propagate Feedback on Student Code Chris Piech	16:36   BilBOWA: Fast Bilingual Distributed Representations without Word Alignments Stephan Gouws	8 views, 15:44   Modeling Order in Neural Word Embeddings at Scale David Gilmore, Andrew Trask	4 views, 18:02   Gated Feedback Recurrent Neural Networks Junyoung Chung
3 views, 14:32   An Empirical Exploration of Recurrent Network Architectures Rafal Jozefowicz     Distributed Optimization
1 view, 16:15   PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent Cho-Jui Hsieh	2 views, 14:27   An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization Garud Iyengar	4 views, 16:57   DiSCO: Distributed Optimization for Self-Concordant Empirical Loss Yuchen Zhang	16:31   Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM Ching-Pei Lee
3 views, 15:50   Adding vs. Averaging in Distributed Primal-Dual Optimization Virginia Smith     Bayesian Nonparametrics I
1 view, 18:56   A Bayesian nonparametric procedure for comparing algorithms Francesca Mangili	4 views, 17:57   Manifold-valued Dirichlet Processes Hyunwoo J. Kim	18:03   JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes Jonathan Huggins	1 view, 17:42   Atomic Spatial Processes Neil Spencer
2 views, 17:37   DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics Yining Wang     Reinforcement Learning I
73 views, 19:20   Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing Alan Malek	27 views, 15:22   Off-policy Model-based Learning under Unknown Factored Dynamics Assaf Hallak	81 views, 15:56   A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits Pratik Gajane	13:33   On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence Nathaniel Korda
Learning Theory I
25 views, 15:19   Entropy-Based Concentration Inequalities for Dependent Variables Liva Ralaivola	34 views, 18:27   The Ladder: A Reliable Leaderboard for Machine Learning Competitions Moritz Hardt 1 comment	25 views, 15:40   Theory of Dual-sparse Regularized Randomized Reduction Tianbao Yang	14 views, 15:07   A Theoretical Analysis of Metric Hypothesis Transfer Learning Michaël Perrot
20 views, 15:19   Optimizing Non-decomposable Performance Measures: A Tale of Two Classes Harikrishna Narasimhan     Supervised Learning I
25 views, 18:48   Learning from Corrupted Binary Labels via Class-Probability Estimation Aditya Menon	30 views, 17:00   Multi-instance multi-label learning in the presence of novel class instances Raviv Raich	6 views, 18:43   Entropy evaluation based on confidence intervals of frequency estimates: Application to the learning of decision trees Mathieu Serrurier	50 views, 13:08   Support Matrix Machines Luo Luo
17 views, 13:16   Attribute Efficient Linear Regression with Distribution-Dependent Sampling Doron Kukliansky     Bandit Learning
2 views, 19:06   Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays Junpei Komiyama	1 view, 15:08   Simple regret for infinitely many armed bandits Alexandra Carpentier	1 view, 18:06   Efficient Learning in Large-Scale Combinatorial Semi-Bandits Branislav Kveton	23:31   Cascading Bandits: Learning to Rank in the Cascade Model Branislav Kveton
19:07   Cheap Bandits Manjesh Kumar Hanawal 3 views, 22:33   Qualitative Multi-Armed Bandits: A Quantile-Based Approach Szörényi Balázs
Deep Learning Computations
17:37   Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix Roger Grosse	1 view, 12:53   Compressing Neural Networks with the Hashing Trick Kilian Q. Weinberger	7 views, 16:37   Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe	18:20   Optimizing Neural Networks with Kronecker-factored Approximate Curvature James Martens
1 view, 18:05   Deep Learning with Limited Numerical Precision Suyog Gupta   Causality
1 view, 17:59   Removing systematic errors for exoplanet search via latent causes Bernhard Schölkopf	18 views, 17:38   Towards a Learning Theory of Cause-Effect Inference Krikamol Muandet	2 views, 17:07   Counterfactual Risk Minimization: Learning from Logged Bandit Feedback Adith Swaminathan	2 views, 16:23   Telling cause from effect in deterministic linear dynamical systems Naji Shajarisales
2 views, 17:11   Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components Philipp Geiger 17:16   Discovering Temporal Causal Relations from Subsampled Data Kun Zhang
Matrix Factorization
26 views, 17:48   Guaranteed Tensor Decomposition: A Moment Approach Gongguo Tang	19 views, 17:58   PU Learning for Matrix Completion Cho-Jui Hsieh	19 views, 18:18   Low-Rank Matrix Recovery from Row-and-Column Affine Measurements Avishai Wagner	18 views, 20:36   Intersecting Faces: Non-negative Matrix Factorization With New Guarantees James Y. Zou
22 views, 10:12   CUR Algorithm for Partially Observed Matrices Miao Xu 13 views, 18:16   An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection Tianbao Yang
Sparsity I
17 views, 21:29   Swept Approximate Message Passing for Sparse Estimation Eric W. Tramel 1 comment	13 views, 17:32   Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing Rongda Zhu	22 views, 20:24   Sparse Subspace Clustering with Missing Entries René Vidal	12 views, 16:47   Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems Qiang Zhou
34 views, 20:50   Complete Dictionary Recovery Using Nonconvex Optimization John Wright       Ranking Learning
18 views, 16:58   Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top Arun Rajkumar	15 views, 18:09   MRA-based Statistical Learning from Incomplete Rankings Eric Sibony	15:08   Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons	7 views, 15:28   Distributional Rank Aggregation, and an Axiomatic Analysis Harsh Pareek
17 views, 19:07   Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons Changho Suh 12 views, 14:44   Generalization error bounds for learning to rank: Does the length of document lists matter? Sougata Chaudhuri
Optimization I
4 views, 17:30   A Lower Bound for the Optimization of Finite Sums Alekh Agarwal	1 view, 15:35   Stochastic Optimization with Importance Sampling for Regularized Loss Minimization Peilin Zhao	1 view, 15:59   Stochastic Dual Coordinate Ascent with Adaptive Probabilities Zheng Qu	17:26   Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems Christopher De Sa
Structured Prediction I
4 views, 19:16   How Hard is Inference for Structured Prediction? David Sontag	18:22   Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs Stephen Bach	1 view, 18:19   Learning Submodular Losses with the Lovasz Hinge Jiaqian Yu	18:26   PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data Toby Dylan Hocking
Reinforcement Learning II
18:23   Non-Stationary Approximate Modified Policy Iteration Bruno Scherrer	16:51   Trust Region Policy Optimization John Schulman	17:29   Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning Ronald Ortner	17:23   Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games Julien Perolat
Gaussian Processes I
12 views, 19:13   Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods Seth Flaxman	11 views, 18:59   A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data Bryan Kian Hsiang Low	15 views, 18:57   Controversy in mechanistic modelling with Gaussian processes Benn Macdonald, Dirk Husmeier	59 views, 17:06   Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) Andrew Gordon Wilson
Transfer Learning I
14 views, 18:02   Active Nearest Neighbors in Changing Environments Christopher Berlind	27 views, 18:18   Asymmetric Transfer Learning with Deep Gaussian Processes Melih Kandemir	43 views, 16:34   An embarrassingly simple approach to zero-shot learning Bernardino Romera-Paredes	7 views, 14:45   Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices Tianbao Yang
Networks and Graphs I
8 views, 16:58   A Divide and Conquer Framework for Distributed Graph ClusteringLearning with Multiple Data Matrices Wenzhuo Yang	24 views, 12:12   Scalable Model Selection for Large-Scale Factorial Relational Models Lu Feng	26 views, 19:17   Consistent estimation of dynamic and multi-layer block models Kevin Shuai Xu	12 views, 19:07   Community Detection Using Time-Dependent Personalized PageRank Haim Avron
Deep Learning II
1 view, 18:04   Variational Generative Stochastic Networks with Collaborative Shaping Philip Bachman	15:28   How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances? Senjian An	9 views, 16:10   Unsupervised Domain Adaptation by Backpropagation Yaroslav Ganin	18:24   Learning Transferable Features with Deep Adaptation Networks Mingsheng Long
Networks and Graphs II
1 view, 18:49   Correlation Clustering in Data Streams Sudipto Guha	17:55   An Aligned Subtree Kernel for Weighted Graphs Lu Bai	18:12   HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades Xinran He	14:04   Inferring Graphs from Cascades: A Sparse Recovery Framework Thibaut Horel
Online Learning I
12:18   Strongly Adaptive Online Learning Alon Gonen	1 view, 18:01   Adaptive Belief Propagation Georgios Papachristoudis	18:30   The Hedge Algorithm on a Continuum Walid Krichene
Probabilistic Models I
15 views, 16:57   Inference in a Partially Observed Queuing Model with Applications in Ecology Kevin Winner	7 views, 14:16   Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood Wenzhao Lian	13 views, 15:29   On the Relationship between Sum-Product Networks and Bayesian Networks Han Zhao	35 views, 17:51   Fixed-point algorithms for learning determinantal point processes Zelda Mariet
Learning Theory II
8 views, 13:19   Convex Calibrated Surrogates for Hierarchical Classification Harish G. Ramaswamy	4 views, 17:08   Risk and Regret of Hierarchical Bayesian Learners Jonathan Huggins	19 views, 12:40   Classification with Low Rank and Missing Data Roi Livni	19 views, 20:14   Surrogate Functions for Maximizing Precision at the Top Purushottam Kar
Transfer Learning II
15 views, 18:46   Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer Shan-Hung Wu	12 views, 17:28   A Probabilistic Model for Dirty Multi-task Feature Selection Daniel Hernandez-Lobato	10 views, 19:10   Convex Learning of Multiple Tasks and their Structure Carlo Ciliberto	16 views, 12:42   Convex Formulation for Learning from Positive and Unlabeled Data Marthinus Christoffel du Plessis
Deep Learning and Vision
12:58   Unsupervised Learning of Video Representations using LSTMs Elman Mansimov	24 views, 17:19   Deep Edge-Aware Filters Jimmy SJ. Ren	18:25   DRAW: A Recurrent Neural Network For Image Generation Karol Gregor	1 view, 19:32   Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Kelvin Xu
17:44   Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network Seunghoon Hong   Bayesian Optimization
2 views, 18:25   Gradient-based Hyperparameter Optimization through Reversible Learning David Kristjanson Duvenaud	18:27   Scalable Bayesian Optimization Using Deep Neural Networks Jasper Snoek	1 view, 18:58   High Dimensional Bayesian Optimisation and Bandits via Additive Models Kirthevasan Kandasamy	2 views, 16:35   Safe Exploration for Optimization with Gaussian Processes Alkis Gotovos
1 view, 19:23   Predictive Entropy Search for Bayesian Optimization with Unknown Constraints José Miguel Hernández-Lobato     Variational Inference
5 views, 17:27   A trust-region method for stochastic variational inference with applications to streaming data Lucas Theis	12 views, 16:13   Variational Inference with Normalizing Flows Danilo Jimenez Rezende	2 views, 18:39   Markov Chain Monte Carlo and Variational Inference: Bridging the Gap Tim Salimans	17:49   An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process Amar Shah
1 view, 16:40   Scalable Variational Inference in Log-supermodular Models Josip Djolonga   Large Scale Learning
13 views, 16:35   Coresets for Nonparametric Estimation - the Case of DP-Means Olivier Bachem	8 views, 15:52   K-hyperplane Hinge-Minimax Classifier Margarita Osadchy	6 views, 16:51   Faster cover trees Mike Izbicki	16 views, 13:21   Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis Zhuang Ma
16 views, 16:55   Large-scale log-determinant computation through stochastic Chebyshev expansions Insu Han     Structured Prediction II
31 views, 16:20   Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction Amélie Rolland	4 views, 16:30   Learning Scale-Free Networks by Dynamic Node Specific Degree Prior Jinbo Xu	23 views, 18:23   Learning Deep Structured Models Liang-Chieh Chen	20 views, 16:40   Learning to Search Better than Your Teacher Akshay Krishnamurthy
15 views, 15:26   Learning Fast-Mixing Models for Structured Prediction Jacob Steinhardt      Manifold Learning
22 views, 15:32   Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations Tam Le 1 comment	13 views, 17:13   Learning Local Invariant Mahalanobis Distances Ethan Fetaya	12 views, 16:37   Landmarking Manifolds with Gaussian Processes Dawen Liang	6 views, 18:05   Subsampling Methods for Persistent Homology Bertrand Michel
3 views, 13:34   Bipartite Edge Prediction via Transductive Learning over Product Graphs Hanxiao Liu     Gaussian Processes II
2 views, 16:29   Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data Yarin Gal	18:37   Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes Yves-Laurent Kom Samo	17:55   Finding Galaxies in the Shadows of Quasars with Gaussian Processes Roman Garnett
Monte Carlo Methods
1 view, 16:51   Exponential Integration for Hamiltonian Monte Carlo Wei-Lun Chao	3 views, 18:39   Nested Sequential Monte Carlo Methods Christian Andersson Naesseth	1 view, 22:19   The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling Michael Betancourt
Hashing
1 view, 21:27   Binary Embedding: Fundamental Limits and Fast Algorithm Constantine Caramanis	1 view, 10:25   Hashing for Distributed Data Cong Leng	5 views, 13:45   On Symmetric and Asymmetric LSHs for Inner Product Search Nathan Srebro
Feature Selection I
12 views, 16:21   Multiview Triplet Embedding: Learning Attributes in Multiple Maps Ehsan Amid	9 views, 16:32   Low Rank Approximation using Error Correcting Coding Matrices Shashanka Ubaru	7 views, 20:44   A Unified Framework for Outlier-Robust PCA-like Algorithms Wenzhuo Yang
Kernel Methods
13 views, 18:49   A low variance consistent test of relative dependency Wacha Bounliphone	7 views, 16:08   Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets Woosang Lim	3 views, 15:25   The Kendall and Mallows Kernels for Permutations Yunlong Jiao
Computational Advertising and Social Science
7 views, 17:57   Threshold Influence Model for Allocating Advertising Budgets Atsushi Miyauchi	48 views, 18:20   Approval Voting and Incentives in Crowdsourcing Nihar B. Shah 2 comments	11 views, 15:24   Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View Akihiro Yabe
Optimization II
16:17   Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection Julie Nutini	18:51   A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate Ohad Shamir	19:05   Online Learning of Eigenvectors Dan Garber
Approximate Inference I
19:50   A Hybrid Approach for Probabilistic Inference using Random Projections Stefano Ermon	16:40   Reified Context Models Jacob Steinhardt	18:46   Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood Kohei Hayashi
Bayesian Nonparametrics II
13:00   Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models Mrinal Kanti Das	2 views, 22:52   Bayesian and Empirical Bayesian Forests Matt Taddy	18:34   Metadata Dependent Mondrian Processes Yi Wang
Time Series Analysis I
47 views, 16:42   Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams Qi (Rose) Yu	27 views, 15:47   A Multitask Point Process Predictive Model Wenzhao Lian	15 views, 18:56   Moderated and Drifting Linear Dynamical Systems Jinyan Guan
Feature Selection II
15 views, 17:55   Streaming Sparse Principal Component Analysis Wenzhuo Yang	7 views, 14:47   Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA Bo Xin	7 views, 17:48   Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares Alex Gittens
Unsupervised Learning I
55 views, 16:06   Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Sohl-Dickstein	16 views, 16:09   Structural Maxent Models Vitaly Kuznetsov	27 views, 15:46   Hidden Markov Anomaly Detection Nico Görnitz
Optimization III
18:26   Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets Dan Garber	1 view, 18:33   Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods Zirui Zhou	2 views, 15:18   Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization Roy Frostig
Probabilistic Models II
15:30   Harmonic Exponential Families on Manifolds Taco Cohen	15:33   Celeste: Variational inference for a generative model of astronomical images Jeffrey Regier	20:28   Vector-Space Markov Random Fields via Exponential Families Wesley Tansey	16:06   Dealing with small data: On the generalization of context trees Ralf Eggeling
Natural Language Processing I
16:36   Learning Word Representations with Hierarchical Sparse Coding Dani Yogatama	16:58   A Linear Dynamical System Model for Text David Belanger	13:26   From Word Embeddings To Document Distances Matt J. Kusner	19:05   A Fast Variational Approach for Learning Markov Random Field Language Models Yacine Jernite
Submodularity
26 views, 18:08   On Greedy Maximization of Entropy Dravyansh Sharma	9 views, 17:00   Submodularity in Data Subset Selection and Active Learning Kai Wei	8 views, 19:09   Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions Alina Raluca Ene	11 views, 18:31   The Power of Randomization: Distributed Submodular Maximization on Massive Datasets Justin Ward
Online Learning II
8 views, 17:01   An Online Learning Algorithm for Bilinear Models Yuanbin Wu	13 views, 21:47   Online Time Series Prediction with Missing Data Oren Anava	5 views, 21:56   On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments Yifan Wu	6 views, 14:16   Following the Perturbed Leader for Online Structured Learning Alon Cohen
Unsupervised Learning II
4 views, 17:40   Entropic Graph-based Posterior Regularization Maxwell Libbrecht	8 views, 15:25   Information Geometry and Minimum Description Length Networks Ke Sun	22 views, 19:24   Context-based Unsupervised Data Fusion for Decision Making Mihaela van der Schaar	9 views, 17:44   Alpha-Beta Divergences Discover Micro and Macro Structures in Data Sergey Levine
Deep Learning III
14:40   Weight Uncertainty in Neural Network Charles Blundell	14:06   MADE: Masked Autoencoder for Distribution Estimation Mathieu Germain	11:47   Generative Moment Matching Networks Kevin Swersky	3 views, 18:58   Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato
16:03   Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions Taehoon Lee   Privacy
42 views, 18:41   Is Feature Selection Secure against Training Data Poisoning? Battista Biggio	2 views, 19:23   Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo Yu-Xiang Wang	3 views, 18:43   Rademacher Observations, Private Data, and Boosting Giorgio Patrini	1 view, 19:33   The Composition Theorem for Differential Privacy Sewoong Oh
1 view, 17:41   Differentially Private Bayesian Optimization Matt J. Kusner     Topic Models
18:19   Markov Mixed Membership Models John Paisley	18:02   Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models James Foulds	17:05   Scalable Deep Poisson Factor Analysis for Topic Modeling David E. Carlson	20:49   Ordinal Mixed Membership Models Seppo Virtanen
19:03   Efficient Training of LDA on a GPU by Mean-for-Mode Estimation Jean-Baptiste Tristan   Reinforcement Learning III
50 views, 15:20   Training Deep Convolutional Neural Networks to Play Go Christopher Clark	5 views, 18:19   Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret Eric Eaton	4 views, 18:00   Robust partially observable Markov decision process Takayuki Osogami	12 views, 15:42   Fictitious Self-Play in Extensive-Form Games Johannes Heinrich
12 views, 16:18   A Deeper Look at Planning as Learning from Replay Harm Van Seijen   Gaussian Processes III
21 views, 19:52   Distributed Gaussian Processes Marc Peter Deisenroth	12 views, 18:03   Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) Maurizio Filippone	45 views, 19:04   Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs Yarin Gal	5 views, 19:24   Sparse Variational Inference for Generalized GP Models Rishit Sheth
Supervised Learning II
17 views, 15:14   On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property Maxime Gasse	6 views, 16:02   Consistent Multiclass Algorithms for Complex Performance Measures Harikrishna Narasimhan	14 views, 17:34   Feature-Budgeted Random Forest Feng Nan	3 views, 16:39   A New Generalized Error Path Algorithm for Model Selection Bin Gu
2 views, 12:32   Dynamic Sensing: Better Classification under Acquisition Constraints Oran Richman     Reinforcement Learning IV
1 view, 17:43   Universal Value Function Approximators Tom Schaul	15:13   High Confidence Policy Improvement Philip S. Thomas	16:21   Abstraction Selection in Model-based Reinforcement Learning Nan Jiang
Optimization IV
2 views, 17:12   Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization Yuchen Zhang	18:05   Adaptive Stochastic Alternating Direction Method of Multipliers Peilin Zhao	15:39   A General Analysis of the Convergence of ADMM Robert Nishihara
Bayesian Nonparametrics III
13:58   A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models Jimmy Xin Lin	17:18   Distributed Inference for Dirichlet Process Mixture Models Yutian Chen	17:06   Large-scale Distributed Dependent Nonparametric Trees Zhiting Hu
Sparsity II
9 views, 18:18   A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data Yining Wang	10 views, 16:45   Stay on path: PCA along graph paths Megasthenis Asteris	11 views, 14:36   Geometric Conditions for Subspace-Sparse Recovery René Vidal
Clustering I
19 views, 19:40   A Convex Optimization Framework for Bi-Clustering Huan Xu	26 views, 18:43   Multi-Task Learning for Subspace Segmentation Yu Wang	2 views, 16:33   Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization Jinbo Bi
Vision
12 views, 16:46   Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM Xiaojun Chang	11 views, 15:30   Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification Bo Xin	17 views, 17:21   Bayesian Multiple Target Localization Peter I. Frazier
Sparse optimization
17:22   Mind the duality gap: safer rules for the Lasso Alexandre Gramfort	13:56   Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains Sören Laue	14:50   A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis Jinbo Bi
Approximate Inference II
17:35   The Benefits of Learning with Strongly Convex Approximate Inference Ben London	16:31   Message Passing for Collective Graphical Models Tao Sun	17:31   Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach Jason L. Pacheco
Natural Language Processing II
16:45   Phrase-based Image Captioning Rémi Lebret	13:57   Long Short-Term Memory Over Recursive Structures Xiaodan Zhu	13:41   Bimodal Modelling of Source Code and Natural Language Miltos Allamanis
Time Series Analysis II
10 views, 18:15   Learning Parametric-Output HMMs with Two Aliased States Roi Weiss	9 views, 12:01   Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes Sheng Xu	28 views, 20:00   Functional Subspace Clustering with Application to Time Series Yan Liu
Clustering II
11 views, 19:39   Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup Xipeng Shen	11 views, 16:28   A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning Debarghya Ghoshdastidar	12:17   Spectral Clustering via the Power Method - Provably Alex Gittens
Learning Theory III
28 views, 14:43   Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds Yuchen Zhang	30 views, 18:25   Deterministic Independent Component Analysis Csaba Szepesvári	11 views, 16:26   Convergence rate of Bayesian tensor estimator and its minimax optimality Taiji Suzuki

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