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calendar icon Dec 6, 2010 videos icon 53 videos
Video Journal of Machine Learning Abstracts - Volume 1

Video Journal of Machine Learning Abstracts - Volume 1

Welcome to the first issue of the Journal of Machine Learning Video Abstracts. The first issue is dedicated to presenting the spotlight presentations of the 2010 Neural Information Processing Systems (NIPS) Conference held in Vancouver, Canada, on December 7-9. The presentations were lengthened to four minutes for this year's conference with an allowance of 4 slides for each paper. The VideoLectures.NET team were on site to record the presentations and they post-processed the recordings to incorporate the slides into the video. The VideoLectures.NET portal provides the infrastructure for the journal pages. All of the abstracts have been reviewed for quality of recording and appropriateness of presentation, while the papers they describe were accepted to the highly prestigious and competitive NIPS event. At the conference itself there was also a poster session at which researchers could discuss the results with the authors and some of the presentations refer to these sessions at the end of their presentations. We are very conscious of the enormous effort that the authors have put into these presentations in order to communicate the results and main contributions of their papers to the community. We are therefore delighted to have been able to record them and make them available to a wider audience as a special issue of the Journal of Machine Learning Video Abstracts.

John Shawe-Taylor and Richard Zemel ;Editors of the Special Issue and Programme Chairs of the 2010 NIPS Conference

Spotlights Session 1

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04:25

b-Bit Minwise Hashing for Estimating Three-Way Similarities

Ping Li

calendar icon Mar 25, 2011 5110 views

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03:06

Why are some word orders more common than others? A uniform information density ...

Luke Maurits

calendar icon Mar 25, 2011 4197 views

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03:55

Learning from Candidate Labeling Sets

Jie Luo

calendar icon Mar 25, 2011 3893 views

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04:32

Getting lost in space: Large sample analysis of the resistance distance

Matthias Hein

calendar icon Mar 25, 2011 3460 views

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04:05

Layered image motion with explicit occlusions, temporal consistency, and depth o...

Deqing Sun

calendar icon Mar 25, 2011 3482 views

Spotlights Session 2

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03:14

Learning to localise sounds with spiking neural networks

Dan F. Goodman

calendar icon Mar 25, 2011 3947 views

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03:10

Attractor Dynamics with Synaptic Depression

C. C. Alan Fung

calendar icon Mar 25, 2011 2796 views

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03:39

Improving Human Judgments by Decontaminating Sequential Dependencies

Michael C. Mozer

calendar icon Mar 25, 2011 2765 views

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04:13

SpikeAnts, a spiking neuron network modelling the emergence of organization in a...

Sylvain Chevallier

calendar icon Jan 5, 2011 3283 views

Spotlights Session 3

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03:10

Copula Processes

Andrew Gordon Wilson

calendar icon Mar 25, 2011 10333 views

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04:01

LSTD with Random Projections

Mohammad Ghavamzadeh

calendar icon Mar 25, 2011 3163 views

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04:52

Learning Convolutional Feature Hierarchies for Visual Recognition

Y-Lan Boureau

calendar icon Mar 25, 2011 5386 views

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03:40

A biologically plausible network for the computation of orientation dominance

Kritika Muralidharan

calendar icon Mar 25, 2011 4398 views

Spotlights Session 4

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04:47

Probabilistic Inference and Differential Privacy

Frank McSherry

calendar icon Mar 25, 2011 3396 views

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03:34

Minimum Average Cost Clustering

Kiyohito Nagano

calendar icon Mar 25, 2011 3251 views

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03:22

Kernel Descriptors for Visual Recognition

Liefeng Bo

calendar icon Mar 25, 2011 7256 views

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05:14

Identifying Dendritic Processing

Aurel A. Lazar

calendar icon Mar 25, 2011 4221 views

Spotlights Session 5

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05:45

Synergies in learning words and their referents

Mark Johnson

calendar icon Mar 25, 2011 3081 views

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02:54

Learning concept graphs from text with stick-breaking priors

America Chambers

calendar icon Mar 25, 2011 2961 views

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03:14

Trading off Mistakes and Don't-Know Predictions

Avrim Blum

calendar icon Mar 25, 2011 3552 views

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03:42

Exact learning curves for Gaussian process regression on large random graphs

Matthew Urry

calendar icon Mar 25, 2011 3307 views

Spotlights Session 6

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04:38

Efficient Minimization of Decomposable Submodular Functions

Peter G. Stobbe

calendar icon Mar 25, 2011 3212 views

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04:39

Worst-case bounds on the quality of max-product fixed-points

Meritxell Vinyals

calendar icon Mar 25, 2011 2868 views

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04:31

Learning invariant features using the Transformed Indian Buffet Process

Joseph L. Austerweil

calendar icon Mar 25, 2011 4062 views

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04:29

Learning To Count Objects in Images

Victor Lempitsky

calendar icon Mar 25, 2011 5738 views

Spotlights Session 7

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03:40

Inductive Regularized Learning of Kernel Functions

Prateek Jain

calendar icon Mar 25, 2011 3433 views

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03:12

Multiple Kernel Learning and the SMO Algorithm

Manik Varma

calendar icon Mar 25, 2011 7899 views

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03:48

Variational Inference over Combinatorial Spaces

Alexandre Bouchard-Côté

calendar icon Mar 25, 2011 3694 views

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03:52

Probabilistic Deterministic Infinite Automata

David Pfau

calendar icon Mar 25, 2011 4293 views

Spotlights Session 8

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04:03

Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets

calendar icon Mar 25, 2011 3230 views

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03:11

Global Analytic Solution for Variational Bayesian

Shinichi Nakajima

calendar icon Mar 25, 2011 3138 views

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03:43

Online Classification with Specificity Constraints

Andrey Bernstein

calendar icon Mar 25, 2011 3169 views

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04:04

Exact inference and learning for cumulative

Jim C. Huang

calendar icon Mar 25, 2011 3023 views

Spotlights Session 9

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04:33

Switched Latent Force Models for Movement Segmentation

Mauricio Alvarez

calendar icon Mar 25, 2011 4549 views

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03:33

Throttling Poisson Processes

Uwe Dick

calendar icon Mar 25, 2011 2887 views

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04:22

Online Markov Decision Processes under Bandit Feedback

Gergely Neu

calendar icon Mar 25, 2011 3145 views

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03:40

Graph-Valued Regression

Xi Chen

calendar icon Mar 25, 2011 3319 views

Spotlights Session 10

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03:29

Distributed Dual Averaging In Networks

John Duchi

calendar icon Mar 25, 2011 3278 views

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02:53

A Family of Penalty Functions for Structured Sparsity

Jean Morales

calendar icon Mar 25, 2011 3015 views

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03:43

Guaranteed Rank Minimization via Singular Value Projection

Prateek Jain

calendar icon Mar 25, 2011 3942 views

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03:25

Online Learning for Latent Dirichlet Allocation

Matt Hoffman

calendar icon Mar 25, 2011 8577 views

Spotlights Session 11

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04:01

Structured Determinantal Point Processes

Alex Kulesza

calendar icon Mar 25, 2011 3517 views

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03:05

Sample Complexity of Testing the Manifold Hypothesis

Hariharan Narayanan

calendar icon Mar 25, 2011 3090 views

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04:11

Online Learning in The Manifold of Low-Rank Matrices

Uri Shalit

calendar icon Mar 25, 2011 3907 views

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03:32

Supervised Clustering

Reza Bosagh Zadeh

calendar icon Mar 25, 2011 4521 views

Spotlights Session 12

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04:34

On a Connection between Importance Sampling and the Likelihood Ratio Policy Grad...

Jie Tang

calendar icon Mar 25, 2011 3606 views

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03:21

Shadow Dirichlet for Restricted Probability Modeling

Maya Gupta

calendar icon Mar 25, 2011 3061 views

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03:27

Functional Geometry Alignment and Localization of Brain Areas

Georg Langs

calendar icon Mar 25, 2011 3163 views

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04:54

Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific s...

Kamiya Motwani

calendar icon Mar 25, 2011 4081 views

Spotlights Session 13

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05:14

More data means less inference: A pseudo-max approach to structured learning

David Sontag

calendar icon Mar 25, 2011 3395 views

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03:13

Learning from Logged Implicit Exploration Data

Alexander Strehl

calendar icon Mar 25, 2011 2838 views

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04:35

Feature Set Embedding for Incomplete Data

David Grangier

calendar icon Mar 25, 2011 2891 views

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04:46

Deciphering subsampled data: adaptive compressive sampling as a principle of bra...

Guy Isely

calendar icon Mar 25, 2011 3125 views

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