Video Journal of Machine Learning Abstracts - Volume 1

Video Journal of Machine Learning Abstracts - Volume 1

53 Videos · Dec 6, 2010

About

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

Videos

Spotlights Session 1

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04:25

b-Bit Minwise Hashing for Estimating Three-Way Similarities

Ping Li

Mar 25, 2011

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5066 views

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03:06

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

Luke Maurits

Mar 25, 2011

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4169 views

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03:55

Learning from Candidate Labeling Sets

Jie Luo

Mar 25, 2011

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3864 views

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04:32

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

Matthias Hein

Mar 25, 2011

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3439 views

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04:05

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

Deqing Sun

Mar 25, 2011

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3466 views

Spotlights Session 2

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03:14

Learning to localise sounds with spiking neural networks

Dan F. Goodman

Mar 25, 2011

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3918 views

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03:10

Attractor Dynamics with Synaptic Depression

C. C. Alan Fung

Mar 25, 2011

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2771 views

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03:39

Improving Human Judgments by Decontaminating Sequential Dependencies

Michael C. Mozer

Mar 25, 2011

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2738 views

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04:13

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

Sylvain Chevallier

Jan 5, 2011

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3265 views

Spotlights Session 3

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03:10

Copula Processes

Andrew Gordon Wilson

Mar 25, 2011

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10280 views

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04:01

LSTD with Random Projections

Mohammad Ghavamzadeh

Mar 25, 2011

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3136 views

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04:52

Learning Convolutional Feature Hierarchies for Visual Recognition

Y-Lan Boureau

Mar 25, 2011

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5357 views

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03:40

A biologically plausible network for the computation of orientation dominance

Kritika Muralidharan

Mar 25, 2011

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4305 views

Spotlights Session 4

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04:47

Probabilistic Inference and Differential Privacy

Frank McSherry

Mar 25, 2011

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3371 views

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03:34

Minimum Average Cost Clustering

Kiyohito Nagano

Mar 25, 2011

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3227 views

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03:22

Kernel Descriptors for Visual Recognition

Liefeng Bo

Mar 25, 2011

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7221 views

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05:14

Identifying Dendritic Processing

Aurel A. Lazar

Mar 25, 2011

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4187 views

Spotlights Session 5

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05:45

Synergies in learning words and their referents

Mark Johnson

Mar 25, 2011

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3061 views

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02:54

Learning concept graphs from text with stick-breaking priors

America Chambers

Mar 25, 2011

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2943 views

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03:14

Trading off Mistakes and Don't-Know Predictions

Avrim Blum

Mar 25, 2011

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3521 views

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03:42

Exact learning curves for Gaussian process regression on large random graphs

Matthew Urry

Mar 25, 2011

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3280 views

Spotlights Session 6

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04:38

Efficient Minimization of Decomposable Submodular Functions

Peter G. Stobbe

Mar 25, 2011

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3190 views

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04:39

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

Meritxell Vinyals

Mar 25, 2011

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2841 views

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04:31

Learning invariant features using the Transformed Indian Buffet Process

Joseph L. Austerweil

Mar 25, 2011

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4038 views

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04:29

Learning To Count Objects in Images

Victor Lempitsky

Mar 25, 2011

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5708 views

Spotlights Session 7

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03:40

Inductive Regularized Learning of Kernel Functions

Prateek Jain

Mar 25, 2011

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3402 views

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03:12

Multiple Kernel Learning and the SMO Algorithm

Manik Varma

Mar 25, 2011

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7843 views

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03:48

Variational Inference over Combinatorial Spaces

Alexandre Bouchard-Côté

Mar 25, 2011

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3673 views

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03:52

Probabilistic Deterministic Infinite Automata

David Pfau

Mar 25, 2011

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4256 views

Spotlights Session 8

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04:03

Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets

Mar 25, 2011

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3198 views

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03:11

Global Analytic Solution for Variational Bayesian

Shinichi Nakajima

Mar 25, 2011

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3115 views

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03:43

Online Classification with Specificity Constraints

Andrey Bernstein

Mar 25, 2011

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3138 views

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04:04

Exact inference and learning for cumulative

Jim C. Huang

Mar 25, 2011

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2993 views

Spotlights Session 9

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04:33

Switched Latent Force Models for Movement Segmentation

Mauricio Alvarez

Mar 25, 2011

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4490 views

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03:33

Throttling Poisson Processes

Uwe Dick

Mar 25, 2011

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2862 views

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04:22

Online Markov Decision Processes under Bandit Feedback

Gergely Neu

Mar 25, 2011

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3129 views

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03:40

Graph-Valued Regression

Xi Chen

Mar 25, 2011

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3289 views

Spotlights Session 10

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03:29

Distributed Dual Averaging In Networks

John Duchi

Mar 25, 2011

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3254 views

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02:53

A Family of Penalty Functions for Structured Sparsity

Jean Morales

Mar 25, 2011

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2993 views

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03:43

Guaranteed Rank Minimization via Singular Value Projection

Prateek Jain

Mar 25, 2011

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3904 views

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03:25

Online Learning for Latent Dirichlet Allocation

Matt Hoffman

Mar 25, 2011

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8533 views

Spotlights Session 11

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04:01

Structured Determinantal Point Processes

Alex Kulesza

Mar 25, 2011

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3496 views

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03:05

Sample Complexity of Testing the Manifold Hypothesis

Hariharan Narayanan

Mar 25, 2011

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3056 views

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04:11

Online Learning in The Manifold of Low-Rank Matrices

Uri Shalit

Mar 25, 2011

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3881 views

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03:32

Supervised Clustering

Reza Bosagh Zadeh

Mar 25, 2011

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4490 views

Spotlights Session 12

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04:34

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

Jie Tang

Mar 25, 2011

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3585 views

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03:21

Shadow Dirichlet for Restricted Probability Modeling

Maya Gupta

Mar 25, 2011

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3040 views

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03:27

Functional Geometry Alignment and Localization of Brain Areas

Georg Langs

Mar 25, 2011

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3138 views

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04:54

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

Kamiya Motwani

Mar 25, 2011

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4060 views

Spotlights Session 13

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05:14

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

David Sontag

Mar 25, 2011

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3369 views

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03:13

Learning from Logged Implicit Exploration Data

Alexander Strehl

Mar 25, 2011

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2810 views

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04:35

Feature Set Embedding for Incomplete Data

David Grangier

Mar 25, 2011

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2863 views

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04:46

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

Guy Isely

Mar 25, 2011

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3107 views