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

video-img
48:07

Suspicious Coincidences in the Brain

Terrence J. Sejnowski

Jan 16, 2013

 · 

8463 Views

Keynote

Invited Talks

video-img
53:11

Quantum information and the Brain

Scott Aaronson

Jan 16, 2013

 · 

30331 Views

Invited Talk
video-img
43:14

Classification with Deep Invariant Scattering Networks

Stéphane Mallat

Jan 16, 2013

 · 

16403 Views

Invited Talk
video-img
49:44

Signatures of Conscious Processing in the Human Brain

Stanislas Dehaene

Jan 17, 2013

 · 

5395 Views

Invited Talk
video-img
25:19

Dropout: A simple and effective way to improve neural networks

Geoffrey E. Hinton

Jan 16, 2013

 · 

54703 Views

Invited Talk
video-img
18:47

Merck Molecular Activity Challenge

George E. Dahl

Jan 16, 2013

 · 

5482 Views

Invited Talk

Oral Sessions

video-img
15:11

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

Fang Han

Jan 16, 2013

 · 

5947 Views

Lecture
video-img
16:07

Spectral Learning of General Weighted Automata via Constrained Matrix Completion

Borja Balle

Jan 16, 2013

 · 

3519 Views

Lecture
video-img
18:10

Relax and Randomize: From Value to Algorithms

Karthik Sridharan

Jan 16, 2013

 · 

3403 Views

Lecture
video-img
15:20

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

Nicolas Le Roux

Jan 22, 2013

 · 

7410 Views

Lecture
video-img
14:27

Approximating Concavely Parameterized Optimization Problems

Sören Laue

Jan 16, 2013

 · 

3964 Views

Lecture
video-img
16:16

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

Lars Buesing

Jan 16, 2013

 · 

3154 Views

Lecture
video-img
15:12

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

Hua Wang

Jan 16, 2013

 · 

3920 Views

Lecture
video-img
15:36

Multimodal Learning with Deep Boltzmann Machines

Ruslan Salakhutdinov

Jan 16, 2013

 · 

14968 Views

Lecture
video-img
16:41

Discriminative Learning of Sum-Product Networks

Robert Gens

Jan 16, 2013

 · 

13577 Views

Lecture
video-img
17:59

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

Ashwini Shukla

Jan 16, 2013

 · 

4327 Views

Lecture
video-img
15:16

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

Thomas Furmston

Jan 16, 2013

 · 

2822 Views

Lecture
video-img
21:06

Privacy Aware Learning

John Duchi

Jan 16, 2013

 · 

4162 Views

Lecture
video-img
14:26

Graphical Models via Generalized Linear Models

Eunho Yang

Jan 16, 2013

 · 

5674 Views

Lecture
video-img
19:00

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

Po-Ling Loh

Jan 16, 2013

 · 

6418 Views

Lecture
video-img
21:53

Near-Optimal MAP Inference for Determinantal Point Processes

Jennifer A. Gillenwater

Jan 16, 2013

 · 

5781 Views

Lecture
video-img
18:46

Bayesian nonparametric models for bipartite graphs

François Caron

Jan 16, 2013

 · 

3560 Views

Lecture
video-img
18:19

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

Angela J. Yu

Jan 16, 2013

 · 

4865 Views

Lecture
video-img
18:07

Gradient Weights help Nonparametric Regressors

Samory Kpotufe

Jan 16, 2013

 · 

3344 Views

Lecture