Conference Sessions

Conference Sessions

19 Lectures · Dec 7, 2009

Uploaded videos:

Oral Session 1: Information Theory and Estimation

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19:40

Multi-Label Prediction via Compressed Sensing

Daniel Hsu

Jan 19, 2010

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5236 Views

Lecture

Oral Session 2: Images and Codes

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19:33

An Additive Latent Feature Model for Transparent Object Recognition

Mario Fritz

Jan 19, 2010

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6857 Views

Lecture
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19:57

Semi-Supervised Learning in Gigantic Image Collections

Rob Fergus

Jan 19, 2010

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4062 Views

Lecture
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18:22

Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations

Mingyuan Zhou

Jan 19, 2010

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8298 Views

Lecture
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19:11

Locality-Sensitive Binary Codes from Shift-Invariant Kernels

Maxim Raginsky

Jan 19, 2010

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4546 Views

Lecture

Oral Session 3: Deep Learning and Network Models

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22:34

Discriminative Network Models of Schizophrenia

Guillermo A. Cecchi

Jan 19, 2010

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3369 Views

Lecture

Oral Session 4: Cognitive Science and EEG Analysis

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16:09

Explaining Human Multiple Object Tracking as Resource-Constrained Approximate In...

Edward Vul

Jan 19, 2010

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4605 Views

Lecture
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12:28

Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EE...

Zhouchen Lin

Jan 19, 2010

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3361 Views

Lecture

Oral Session 5: Neuroscience

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19:02

Functional Network Reorganization In Motor Cortex Can Be Explained by Reward-Mod...

Robert Legenstein

Jan 19, 2010

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6010 Views

Lecture
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17:34

Know Thy Neighbour: A Normative Theory of Synaptic Depression

Jean-Pascal Pfister

Jan 19, 2010

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2938 Views

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Oral Session 6: Theory, Optimization and Games

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18:53

Efficient Learning using Forward-Backward Splitting

John Duchi

Jan 19, 2010

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4097 Views

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21:22

On Stochastic and Worst-case Models for Investing

Elad Hazan

Jan 19, 2010

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3552 Views

Lecture
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20:49

Bootstrapping from Game Tree Search

Joel Veness

Jan 19, 2010

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4427 Views

Lecture
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22:34

Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributio...

Bharath K. Sriperumbudur

Jan 19, 2010

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3414 Views

Lecture

Oral session 7: Vision and Inference

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18:07

An LP View of the M-Best MAP Problem

Menachem Fromer

Jan 19, 2010

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3547 Views

Lecture

Oral session 8: Probabilistic Models and Kernels

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21:23

Reading Tea Leaves: How Humans Interpret Topic Models

Jordan Boyd-Graber

Jan 19, 2010

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6836 Views

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21:15

Sharing Features among Dynamical Systems with Beta Processes

Emily Fox

Jan 19, 2010

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5394 Views

Lecture
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17:52

Fast Subtree Kernels on Graphs

Nino Shervashidze

Jan 19, 2010

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6861 Views

Lecture

Oral session 10: Neural Modeling and Imaging

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21:47

Time-rescaling Methods for the Estimation and Assessment of Non-Poisson Neural E...

Jonathan Pillow

Jan 19, 2010

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3887 Views

Lecture