Knowledge 4 All Foundation Video Journal Volume 5

Video Journal of Machine Learning Abstracts - Volume 5

Welcome to the 5th issue of the Journal of Machine Learning Video Abstracts, published by Knowledge for All Foundation Ltd, London, with the goal of providing the legacy of the PASCAL2 Network of Excellence. The fifth issue is dedicated to presenting the spotlight presentations of the 2013 Neural Information Processing Systems (NIPS) Conference held in Lake Tahoe, Nevada, United States, on December 5-10.

The presentations were lengthened to five minutes for this year's conference with an allowance of 5 slides for each paper. Microsoft recorded and post-processed the recordings whereas the VideoLectures.NET team incorporated the slides into the videos.

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Top » Computer Science » Machine Learning


Spotlight Session 1
[syn] 1783 views, 04:02 Adaptive Anonymity via b-MatchingAdaptive Anonymity via b-Matching Krzysztof M. Choromanski Krzysztof M. Choromanski	[syn] 1660 views, 03:01 Exact and Stable Recovery of Pairwise Interaction TensorsExact and Stable Recovery of Pairwise Interaction Tensors Shouyuan Chen Shouyuan Chen	[syn] 2213 views, 03:05 Matrix factorization with binary componentsMatrix factorization with binary components Martin Slawski Martin Slawski	[syn] 1744 views, 03:35 On the Complexity and Approximation of Binary Evidence in Lifted InferenceOn the Complexity and Approximation of Binary Evidence in Lifted ... Guy Van den Broeck Guy Van den Broeck	[syn] 1772 views, 04:58 Unsupervised Spectral Learning of Finite State TransducersUnsupervised Spectral Learning of Finite State Transducers Raphaël Bailly Raphaël Bailly
Spotlight Session 2
[syn] 1909 views, 06:07 Provable Subspace Clustering: When LRR meets SSCProvable Subspace Clustering: When LRR meets SSC Yu-Xiang Wang Yu-Xiang Wang	[syn] 1832 views, 02:54 Matrix Completion From any Given Set of ObservationsMatrix Completion From any Given Set of Observations Troy Lee Troy Lee	[syn] 4428 views, 03:13 Convex Two-Layer ModelingConvex Two-Layer Modeling Özlem Aslan Özlem Aslan	[syn] 1660 views, 03:52 Reconciling "priors'' & "priors" without prejudice?Reconciling "priors'' & "priors" without prejudice? Pierre Machart Pierre Machart	[syn] 1798 views, 03:48 Robust Sparse Principal Component Regression under the High Dimensional Elliptical ModelRobust Sparse Principal Component Regression under the High Dimensional Elliptical ... Fang Han Fang Han
[syn] 1888 views, 02:43 Structured Learning via Logistic RegressionStructured Learning via Logistic Regression Justin Domke Justin Domke
Spotlight Session 3
[syn] 2235 views, 03:42 Bayesian entropy estimation for binary spike train data using parametric prior knowledgeBayesian entropy estimation for binary spike train data using parametric ... Evan W. Archer Evan W. Archer 1 comment	[syn] 1806 views, 04:39 Inferring neural population dynamics from multiple partial recordings of the same neural circuitInferring neural population dynamics from multiple partial recordings of the ... Srini Turaga Srini Turaga	[syn] 1612 views, 03:28 Noise-Enhanced Associative MemoriesNoise-Enhanced Associative Memories Amin Karbasi Amin Karbasi	[syn] 2038 views, 03:25 Demixing odors - fast inference in olfactionDemixing odors - fast inference in olfaction Agnieszka Grabska-Barwinska Agnieszka Grabska-Barwinska	[syn] 2597 views, 04:05 Recurrent linear models of simultaneously-recorded neural populationsRecurrent linear models of simultaneously-recorded neural populations Maneesh Sahani Maneesh Sahani
Spotlight Session 4
[syn] 2185 views, 03:55 Dropout Training as Adaptive RegularizationDropout Training as Adaptive Regularization Stefan Wager Stefan Wager	[syn] 3620 views, 04:30 Stochastic Gradient Riemannian Langevin Dynamics on the Probability SimplexStochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex Yee Whye Teh Yee Whye Teh	[syn] 1623 views, 04:34 Restricting exchangeable nonparametric distributionsRestricting exchangeable nonparametric distributions Sinead Williamson Sinead Williamson	[syn] 1864 views, 02:54 Approximate inference in latent Gaussian-Markov models from continuous time observationsApproximate inference in latent Gaussian-Markov models from continuous time observations Botond Cseke Botond Cseke	[syn] 1787 views, 04:08 Bayesian inference as iterated random functions with applications to sequential inference in graphical modelsBayesian inference as iterated random functions with applications to sequential ... Arash A. Amini Arash A. Amini
Spotlight Session 5
[syn] 1749 views, 04:41 Linear decision rule as aspiration for simple decision heuristicsLinear decision rule as aspiration for simple decision heuristics Özgür Şimşek Özgür Şimşek	[syn] 1728 views, 04:10 Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? Qiang Liu Qiang Liu	[syn] 1675 views, 03:45 Bayesian Inference and Online Experimental Design for Mapping Neural MicrocircuitsBayesian Inference and Online Experimental Design for Mapping Neural Microcircuits Ben Shababo Ben Shababo	[syn] 1834 views, 03:08 Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI AnalysisSparse Overlapping Sets Lasso for Multitask Learning and its Application ... Nikhil Rao Nikhil Rao	[syn] 1919 views, 03:53 Lasso Screening Rules via Dual Polytope ProjectionLasso Screening Rules via Dual Polytope Projection Jie Wang Jie Wang
Spotlight Session 6
[syn] 2733 views, 03:52 Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert SpaceLearning with Invariance via Linear Functionals on Reproducing Kernel Hilbert ... Xinhua Zhang Xinhua Zhang	[syn] 2123 views, 01:11 Learning Kernels Using Local Rademacher ComplexityLearning Kernels Using Local Rademacher Complexity Marius Kloft Marius Kloft	[syn] 1849 views, 04:43 Inverse Density as an Inverse Problem: the Fredholm Equation ApproachInverse Density as an Inverse Problem: the Fredholm Equation Approach Qichao Que Qichao Que	[syn] 1763 views, 02:26 Regression-tree Tuning in a Streaming SettingRegression-tree Tuning in a Streaming Setting Samory Kpotufe Samory Kpotufe	[syn] 1987 views, 03:02 Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) Francis R. Bach Francis R. Bach
Spotlight Session 7
[syn] 2217 views, 03:28 PAC-Bayes-Empirical-Bernstein InequalityPAC-Bayes-Empirical-Bernstein Inequality Ilya O. Tolstikhin Ilya O. Tolstikhin	[syn] 2075 views, 03:37 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optimaRegularized M-estimators with nonconvexity: Statistical and algorithmic theory for local ... Po-Ling Loh Po-Ling Loh	[syn] 1782 views, 03:12 More data speeds up training time in learning halfspaces over sparse vectorsMore data speeds up training time in learning halfspaces over ... Amit Daniely Amit Daniely	[syn] 1620 views, 04:01 Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking LossesConvex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to ... Harish G. Ramaswamy Harish G. Ramaswamy	[syn] 1954 views, 04:08 On the Relationship Between Binary Classification, Bipartite Ranking, and Binary Class Probability EstimationOn the Relationship Between Binary Classification, Bipartite Ranking, and Binary ... Harikrishna Narasimhan Harikrishna Narasimhan
Spotlight Session 8
[syn] 1881 views, 03:34 How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax OptimalHow to Hedge an Option Against an Adversary: Black-Scholes Pricing ... Andre Wibisono Andre Wibisono	[syn] 1655 views, 03:48 Small-Variance Asymptotics for Hidden Markov ModelsSmall-Variance Asymptotics for Hidden Markov Models Anirban Roychowdhury Anirban Roychowdhury	[syn] 1945 views, 03:11 The Total Variation on Hypergraphs - Learning on Hypergraphs RevisitedThe Total Variation on Hypergraphs - Learning on Hypergraphs Revisited Syama Sundar Rangapuram Syama Sundar Rangapuram	[syn] 1739 views, 02:43 Using multiple samples to learn mixture modelsUsing multiple samples to learn mixture models Jason D. Lee Jason D. Lee	[syn] 1838 views, 03:45 Approximate Inference in Continuous Determinantal ProcessesApproximate Inference in Continuous Determinantal Processes Raja Hafiz Affandi Raja Hafiz Affandi
Spotlight Session 9
[syn] 1831 views, 03:13 Learning from Limited DemonstrationsLearning from Limited Demonstrations Beomjoon Kim Beomjoon Kim	[syn] 1776 views, 04:15 Distributed Exploration in Multi-Armed BanditsDistributed Exploration in Multi-Armed Bandits Tomer Koren Tomer Koren	[syn] 1714 views, 03:32 Dimension-Free Exponentiated GradientDimension-Free Exponentiated Gradient Francesco Orabona Francesco Orabona	[syn] 1789 views, 03:34 Generalizing Analytic Shrinkage for Arbitrary Covariance StructuresGeneralizing Analytic Shrinkage for Arbitrary Covariance Structures Daniel Bartz Daniel Bartz	[syn] 2022 views, 03:08 Robust Spatial Filtering with Beta DivergenceRobust Spatial Filtering with Beta Divergence Wojciech Samek Wojciech Samek
Spotlight Session 10
[syn] 1580 views, 03:43 Speeding up Permutation Testing in NeuroimagingSpeeding up Permutation Testing in Neuroimaging Chris Hinrichs Chris Hinrichs	[syn] 1734 views, 03:03 Robust Multimodal Graph Matching: Sparse Coding Meets Graph MatchingRobust Multimodal Graph Matching: Sparse Coding Meets Graph Matching Marcelo Fiori Marcelo Fiori	[syn] 2868 views, 03:41 Deep Fisher Networks for Large-Scale Image ClassificationDeep Fisher Networks for Large-Scale Image Classification Karen Simonyan Karen Simonyan	[syn] 2792 views, 04:12 Sinkhorn Distances: Lightspeed Computation of Optimal TransportSinkhorn Distances: Lightspeed Computation of Optimal Transport Marco Cuturi Marco Cuturi	[syn] 1819 views, 03:46 Understanding variable importances in forests of randomized treesUnderstanding variable importances in forests of randomized trees Gilles Louppe Gilles Louppe

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Knowledge 4 All Foundation Video Journal Volume 5

Video Journal of Machine Learning Abstracts - Volume 5

Spotlight Session 1

Spotlight Session 2

Spotlight Session 3

Spotlight Session 4

Spotlight Session 5

Spotlight Session 6

Spotlight Session 7

Spotlight Session 8

Spotlight Session 9

Spotlight Session 10

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