Video Journal of Machine Learning Abstracts - Volume 1

Video Journal of Machine Learning Abstracts - Volume 1

53 Lectures · 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

Related categories

Uploaded videos:

Spotlights Session 1

video-img
03:54

Learning from Candidate Labeling Sets

Jie Luo

Mar 25, 2011

 · 

3857 Views

Demonstration
video-img
03:06

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

Luke Maurits

Mar 25, 2011

 · 

4163 Views

Demonstration
video-img
04:05

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

Deqing Sun

Mar 25, 2011

 · 

3459 Views

Demonstration
video-img
04:25

b-Bit Minwise Hashing for Estimating Three-Way Similarities

Ping Li

Mar 25, 2011

 · 

5055 Views

Demonstration
video-img
04:32

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

Matthias Hein

Mar 25, 2011

 · 

3435 Views

Demonstration

Spotlights Session 2

video-img
03:39

Improving Human Judgments by Decontaminating Sequential Dependencies

Michael C. Mozer

Mar 25, 2011

 · 

2733 Views

Demonstration
video-img
03:14

Learning to localise sounds with spiking neural networks

Dan F. Goodman

Mar 25, 2011

 · 

3914 Views

Demonstration
video-img
04:13

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

Sylvain Chevallier

Jan 05, 2011

 · 

3262 Views

Demonstration
video-img
03:10

Attractor Dynamics with Synaptic Depression

C. C. Alan Fung

Mar 25, 2011

 · 

2767 Views

Demonstration

Spotlights Session 3

video-img
03:10

Copula Processes

Andrew Gordon Wilson

Mar 25, 2011

 · 

10268 Views

Demonstration
video-img
03:40

A biologically plausible network for the computation of orientation dominance

Kritika Muralidharan

Mar 25, 2011

 · 

4287 Views

Demonstration
video-img
04:52

Learning Convolutional Feature Hierarchies for Visual Recognition

Y-Lan Boureau

Mar 25, 2011

 · 

5354 Views

Demonstration
video-img
04:01

LSTD with Random Projections

Mohammad Ghavamzadeh

Mar 25, 2011

 · 

3133 Views

Demonstration

Spotlights Session 4

video-img
03:22

Kernel Descriptors for Visual Recognition

Liefeng Bo

Mar 25, 2011

 · 

7215 Views

Demonstration
video-img
03:34

Minimum Average Cost Clustering

Kiyohito Nagano

Mar 25, 2011

 · 

3223 Views

Demonstration
video-img
05:14

Identifying Dendritic Processing

Aurel A. Lazar

Mar 25, 2011

 · 

4183 Views

Demonstration
video-img
04:47

Probabilistic Inference and Differential Privacy

Frank McSherry

Mar 25, 2011

 · 

3367 Views

Demonstration

Spotlights Session 5

video-img
03:14

Trading off Mistakes and Don't-Know Predictions

Avrim Blum

Mar 25, 2011

 · 

3515 Views

Demonstration
video-img
03:42

Exact learning curves for Gaussian process regression on large random graphs

Matthew Urry

Mar 25, 2011

 · 

3273 Views

Demonstration
video-img
05:45

Synergies in learning words and their referents

Mark Johnson

Mar 25, 2011

 · 

3057 Views

Demonstration
video-img
02:54

Learning concept graphs from text with stick-breaking priors

America Chambers

Mar 25, 2011

 · 

2940 Views

Demonstration

Spotlights Session 6

video-img
04:38

Efficient Minimization of Decomposable Submodular Functions

Peter G. Stobbe

Mar 25, 2011

 · 

3186 Views

Demonstration
video-img
04:39

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

Meritxell Vinyals

Mar 25, 2011

 · 

2837 Views

Demonstration
video-img
04:29

Learning To Count Objects in Images

Victor Lempitsky

Mar 25, 2011

 · 

5703 Views

Demonstration
video-img
04:31

Learning invariant features using the Transformed Indian Buffet Process

Joseph L. Austerweil

Mar 25, 2011

 · 

4033 Views

Demonstration

Spotlights Session 7

video-img
03:12

Multiple Kernel Learning and the SMO Algorithm

Manik Varma

Mar 25, 2011

 · 

7830 Views

Demonstration
video-img
03:48

Variational Inference over Combinatorial Spaces

Alexandre Bouchard-Côté

Mar 25, 2011

 · 

3671 Views

Demonstration
video-img
03:40

Inductive Regularized Learning of Kernel Functions

Prateek Jain

Mar 25, 2011

 · 

3397 Views

Demonstration
video-img
03:52

Probabilistic Deterministic Infinite Automata

David Pfau

Mar 25, 2011

 · 

4250 Views

Demonstration

Spotlights Session 8

video-img
04:03

Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets

Mar 25, 2011

 · 

3193 Views

Demonstration
video-img
03:43

Online Classification with Specificity Constraints

Andrey Bernstein

Mar 25, 2011

 · 

3134 Views

Demonstration
video-img
04:04

Exact inference and learning for cumulative

Jim C. Huang

Mar 25, 2011

 · 

2988 Views

Demonstration
video-img
03:11

Global Analytic Solution for Variational Bayesian

Shinichi Nakajima

Mar 25, 2011

 · 

3110 Views

Demonstration

Spotlights Session 9

video-img
03:33

Throttling Poisson Processes

Uwe Dick

Mar 25, 2011

 · 

2859 Views

Demonstration
video-img
03:40

Graph-Valued Regression

Xi Chen

Mar 25, 2011

 · 

3282 Views

Demonstration
video-img
04:33

Switched Latent Force Models for Movement Segmentation

Mauricio Alvarez

Mar 25, 2011

 · 

4478 Views

Demonstration
video-img
04:22

Online Markov Decision Processes under Bandit Feedback

Gergely Neu

Mar 25, 2011

 · 

3125 Views

Demonstration

Spotlights Session 10

video-img
03:29

Distributed Dual Averaging In Networks

John Duchi

Mar 25, 2011

 · 

3249 Views

Demonstration
video-img
02:53

A Family of Penalty Functions for Structured Sparsity

Jean Morales

Mar 25, 2011

 · 

2985 Views

Demonstration
video-img
03:43

Guaranteed Rank Minimization via Singular Value Projection

Prateek Jain

Mar 25, 2011

 · 

3900 Views

Demonstration
video-img
03:25

Online Learning for Latent Dirichlet Allocation

Matt Hoffman

Mar 25, 2011

 · 

8524 Views

Demonstration

Spotlights Session 11

video-img
04:01

Structured Determinantal Point Processes

Alex Kulesza

Mar 25, 2011

 · 

3492 Views

Demonstration
video-img
03:32

Supervised Clustering

Reza Bosagh Zadeh

Mar 25, 2011

 · 

4480 Views

Demonstration
video-img
04:11

Online Learning in The Manifold of Low-Rank Matrices

Uri Shalit

Mar 25, 2011

 · 

3873 Views

Demonstration
video-img
03:05

Sample Complexity of Testing the Manifold Hypothesis

Hariharan Narayanan

Mar 25, 2011

 · 

3051 Views

Demonstration

Spotlights Session 12

video-img
03:27

Functional Geometry Alignment and Localization of Brain Areas

Georg Langs

Mar 25, 2011

 · 

3134 Views

Demonstration
video-img
04:54

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

Kamiya Motwani

Mar 25, 2011

 · 

4056 Views

Demonstration
video-img
04:34

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

Jie Tang

Mar 25, 2011

 · 

3582 Views

Demonstration
video-img
03:21

Shadow Dirichlet for Restricted Probability Modeling

Maya Gupta

Mar 25, 2011

 · 

3035 Views

Demonstration

Spotlights Session 13

video-img
03:13

Learning from Logged Implicit Exploration Data

Alexander Strehl

Mar 25, 2011

 · 

2806 Views

Demonstration
video-img
04:46

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

Guy Isely

Mar 25, 2011

 · 

3104 Views

Demonstration
video-img
04:35

Feature Set Embedding for Incomplete Data

David Grangier

Mar 25, 2011

 · 

2858 Views

Demonstration
video-img
05:14

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

David Sontag

Mar 25, 2011

 · 

3363 Views

Demonstration