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

video-img
48:07

Suspicious Coincidences in the Brain

Terrence J. Sejnowski

Jan 16, 2013

 · 

8475 views

Invited Talks

video-img
53:11

Quantum information and the Brain

Scott Aaronson

Jan 16, 2013

 · 

30388 views

video-img
18:47

Merck Molecular Activity Challenge

George E. Dahl

Jan 16, 2013

 · 

5508 views

video-img
43:14

Classification with Deep Invariant Scattering Networks

Stéphane Mallat

Jan 16, 2013

 · 

16446 views

video-img
25:19

Dropout: A simple and effective way to improve neural networks

Geoffrey E. Hinton

Jan 16, 2013

 · 

54867 views

video-img
49:44

Signatures of Conscious Processing in the Human Brain

Stanislas Dehaene

Jan 17, 2013

 · 

5415 views

Oral Sessions

video-img
21:06

Privacy Aware Learning

John Duchi

Jan 16, 2013

 · 

4181 views

video-img
18:46

Bayesian nonparametric models for bipartite graphs

François Caron

Jan 16, 2013

 · 

3579 views

video-img
16:07

Spectral Learning of General Weighted Automata via Constrained Matrix Completion

Borja Balle

Jan 16, 2013

 · 

3545 views

video-img
14:26

Graphical Models via Generalized Linear Models

Eunho Yang

Jan 16, 2013

 · 

5696 views

video-img
18:10

Relax and Randomize: From Value to Algorithms

Karthik Sridharan

Jan 16, 2013

 · 

3421 views

video-img
14:27

Approximating Concavely Parameterized Optimization Problems

Sören Laue

Jan 16, 2013

 · 

3979 views

video-img
18:19

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

Angela J. Yu

Jan 16, 2013

 · 

4898 views

Private
video-img
17:20

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

Clément Calauzènes

Jan 11, 2013

 · 

2031 views

video-img
18:07

Gradient Weights help Nonparametric Regressors

Samory Kpotufe

Jan 16, 2013

 · 

3365 views

video-img
15:12

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

Hua Wang

Jan 16, 2013

 · 

3945 views

video-img
15:11

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

Fang Han

Jan 16, 2013

 · 

5974 views

video-img
17:59

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

Ashwini Shukla

Jan 16, 2013

 · 

4347 views

video-img
15:16

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

Thomas Furmston

Jan 16, 2013

 · 

2839 views

video-img
21:53

Near-Optimal MAP Inference for Determinantal Point Processes

Jennifer A. Gillenwater

Jan 16, 2013

 · 

5807 views

video-img
19:00

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

Po-Ling Loh

Jan 16, 2013

 · 

6454 views

video-img
15:20

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

Nicolas Le Roux

Jan 22, 2013

 · 

7428 views

video-img
16:16

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

Lars Buesing

Jan 16, 2013

 · 

3177 views

video-img
16:41

Discriminative Learning of Sum-Product Networks

Robert Gens

Jan 16, 2013

 · 

13617 views

video-img
15:36

Multimodal Learning with Deep Boltzmann Machines

Ruslan Salakhutdinov

Jan 16, 2013

 · 

15013 views