26th Annual Conference on Neural Information Processing Systems (NIPS), Lake Tahoe 2012

26th Annual Conference on Neural Information Processing Systems (NIPS), Lake Tahoe 2012

24 Lectures · Dec 3, 2012

About

You are invited to participate in the Twenty-Sixth Annual Conference on Neural Information Processing Systems, which is the premier scientific meeting on Neural Computation.

Detailed information can be found at NIPS 2012 Conference homepage.


NIPS Spotlight Sessions videos are available at [[machine_learning_video_abstracts_vol3/]]

NIPS Workshops videos are available at [[nipsworkshops2012_laketahoe]]

Related categories

Uploaded videos:

Posner Lectures

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48:07

Suspicious Coincidences in the Brain

Terrence J. Sejnowski

Jan 16, 2013

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8467 Views

Keynote

Invited Talks

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53:11

Quantum information and the Brain

Scott Aaronson

Jan 16, 2013

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30346 Views

Invited Talk
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43:14

Classification with Deep Invariant Scattering Networks

Stéphane Mallat

Jan 16, 2013

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16422 Views

Invited Talk
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49:44

Signatures of Conscious Processing in the Human Brain

Stanislas Dehaene

Jan 17, 2013

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5403 Views

Invited Talk
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25:19

Dropout: A simple and effective way to improve neural networks

Geoffrey E. Hinton

Jan 16, 2013

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54747 Views

Invited Talk
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18:47

Merck Molecular Activity Challenge

George E. Dahl

Jan 16, 2013

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5491 Views

Invited Talk

Oral Sessions

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15:11

TCA: High Dimensional Principal Component Analysis for non-Gaussian Data

Fang Han

Jan 16, 2013

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5958 Views

Lecture
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16:07

Spectral Learning of General Weighted Automata via Constrained Matrix Completion

Borja Balle

Jan 16, 2013

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3521 Views

Lecture
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18:10

Relax and Randomize: From Value to Algorithms

Karthik Sridharan

Jan 16, 2013

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3409 Views

Lecture
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15:20

A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Tra...

Nicolas Le Roux

Jan 22, 2013

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7416 Views

Lecture
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14:27

Approximating Concavely Parameterized Optimization Problems

Sören Laue

Jan 16, 2013

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3970 Views

Lecture
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16:16

Spectral learning of linear dynamics from generalisedlinear observations with ap...

Lars Buesing

Jan 16, 2013

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3161 Views

Lecture
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15:12

High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Marke...

Hua Wang

Jan 16, 2013

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3927 Views

Lecture
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15:36

Multimodal Learning with Deep Boltzmann Machines

Ruslan Salakhutdinov

Jan 16, 2013

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14979 Views

Lecture
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16:41

Discriminative Learning of Sum-Product Networks

Robert Gens

Jan 16, 2013

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13589 Views

Lecture
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17:59

Augmented-SVM: Automatic space partitioning for combining multiple non-linear dy...

Ashwini Shukla

Jan 16, 2013

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4331 Views

Lecture
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15:16

A Unifying Perspective of Parametric Policy Search Methods for Markov Decision P...

Thomas Furmston

Jan 16, 2013

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2823 Views

Lecture
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21:06

Privacy Aware Learning

John Duchi

Jan 16, 2013

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4167 Views

Lecture
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14:26

Graphical Models via Generalized Linear Models

Eunho Yang

Jan 16, 2013

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5682 Views

Lecture
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19:00

No voodoo here! Learning discrete graphical models via inverse covariance estima...

Po-Ling Loh

Jan 16, 2013

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6430 Views

Lecture
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21:53

Near-Optimal MAP Inference for Determinantal Point Processes

Jennifer A. Gillenwater

Jan 16, 2013

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5792 Views

Lecture
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18:46

Bayesian nonparametric models for bipartite graphs

François Caron

Jan 16, 2013

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3563 Views

Lecture
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18:19

Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making

Angela J. Yu

Jan 16, 2013

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4879 Views

Lecture
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18:07

Gradient Weights help Nonparametric Regressors

Samory Kpotufe

Jan 16, 2013

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3353 Views

Lecture