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

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

25 Videos · 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]]

Videos

Posner Lectures

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48:07

Suspicious Coincidences in the Brain

Terrence J. Sejnowski

Jan 16, 2013

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8473 views

Invited Talks

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53:11

Quantum information and the Brain

Scott Aaronson

Jan 16, 2013

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30356 views

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18:47

Merck Molecular Activity Challenge

George E. Dahl

Jan 16, 2013

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5497 views

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43:14

Classification with Deep Invariant Scattering Networks

Stéphane Mallat

Jan 16, 2013

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16429 views

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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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54783 views

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49:44

Signatures of Conscious Processing in the Human Brain

Stanislas Dehaene

Jan 17, 2013

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5408 views

Oral Sessions

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21:06

Privacy Aware Learning

John Duchi

Jan 16, 2013

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4172 views

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18:46

Bayesian nonparametric models for bipartite graphs

François Caron

Jan 16, 2013

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3571 views

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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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3531 views

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14:26

Graphical Models via Generalized Linear Models

Eunho Yang

Jan 16, 2013

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5685 views

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18:10

Relax and Randomize: From Value to Algorithms

Karthik Sridharan

Jan 16, 2013

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3413 views

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14:27

Approximating Concavely Parameterized Optimization Problems

Sören Laue

Jan 16, 2013

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3974 views

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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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4888 views

Private
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17:20

On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking

Clément Calauzènes

Jan 11, 2013

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2031 views

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18:07

Gradient Weights help Nonparametric Regressors

Samory Kpotufe

Jan 16, 2013

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3356 views

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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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3934 views

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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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5964 views

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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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4336 views

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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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2826 views

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21:53

Near-Optimal MAP Inference for Determinantal Point Processes

Jennifer A. Gillenwater

Jan 16, 2013

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5796 views

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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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6437 views

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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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7421 views

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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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3167 views

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16:41

Discriminative Learning of Sum-Product Networks

Robert Gens

Jan 16, 2013

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13597 views

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15:36

Multimodal Learning with Deep Boltzmann Machines

Ruslan Salakhutdinov

Jan 16, 2013

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15003 views