25th Annual Conference on Neural Information Processing Systems (NIPS), Granada 2011

25th Annual Conference on Neural Information Processing Systems (NIPS), Granada 2011

25 Lectures · Dec 12, 2011

About

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

The NIPS Conference features a single track program, with contributions from a large number of intellectual communities. Presentation topics include: Algorithms and Architectures; Applications; Brain Imaging; Cognitive Science and Artificial Intelligence; Control and Reinforcement Learning; Emerging Technologies; Learning Theory; Neuroscience; Speech and Signal Processing; and Visual Processing.

There are two Posner Lectures named in honor of Ed Posner who founded NIPS. Ed worked on communications and information theory at Caltech and was an early pioneer in neural networks. He organized the first NIPS conference and workshop in Denver in 1989 and incorporated the NIPS Foundation in 1992. He was an inpiring teacher and an effective leader. His untimely death in a bicycle accident in 1993 was a great loss to our community. This year's Posner Lecturers will be announced soon.

Detailed information can be found at NIPS 2011 Conference homepage.


Click on the picture for the videos from 2011 NIPS Workshops. ||[[:nipsworkshops2011_sierranevada]]||

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Uploaded videos:

Oral Session 1

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47:06

Learning About Sensorimotor Data

Richard S. Sutton

Jan 25, 2012

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5926 Views

Keynote
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18:44

A Non-Parametric Approach to Dynamic Programming

Oliver B Kroemer

Jan 25, 2012

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4250 Views

Lecture

Oral Session 2

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17:33

On the Completeness of First-Order Knowledge Compilation for Lifted Probabilisti...

Guy Van den Broeck

Jan 25, 2012

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4701 Views

Lecture

Oral Session 3

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18:22

Modelling Genetic Variations with Fragmentation-Coagulation Processes

Yee Whye Teh

Jan 25, 2012

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6451 Views

Lecture
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17:37

Priors over Recurrent Continuous Time Processes

Ardavan Saeedi

Jan 25, 2012

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4505 Views

Lecture

Oral Session 4

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17:50

Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss

David McAllester

Jan 25, 2012

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3446 Views

Lecture

Oral Session 5

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44:15

Sparsity: algorithms, approximations, and analysis

Anna Gilbert

Jan 25, 2012

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9221 Views

Invited Talk
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16:26

Learning Sparse Representations of High Dimensional Data on Large Scale Dictiona...

Zhen James Xiang

Jan 25, 2012

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9785 Views

Lecture
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18:48

High-dimensional regression with noisy and missing data: Provable guarantees wit...

Po-Ling Loh

Jan 25, 2012

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6783 Views

Lecture

Oral Session 6

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46:28

From kernels to causal inference

Bernhard Schölkopf

Jan 25, 2012

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7679 Views

Keynote
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17:05

High-Dimensional Graphical Model Selection

Animashree Anandkumar

Jan 25, 2012

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8314 Views

Lecture

Oral Session 7

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15:20

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

Philipp Krähenbühl

Jan 25, 2012

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9109 Views

Poster

Oral Session 8

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16:39

Efficient Online Learning via Randomized Rounding

Ohad Shamir

Jan 25, 2012

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3461 Views

Lecture
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16:43

Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization

Mark Schmidt

Jan 25, 2012

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6927 Views

Lecture

Oral Session 9

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18:31

k-NN Regression Adapts to Local Intrinsic Dimension

Samory Kpotufe

Jan 25, 2012

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5505 Views

Lecture

Oral Session 10

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19:48

Iterative Learning for Reliable Crowdsourcing Systems

Sewoong Oh

Jan 25, 2012

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7160 Views

Lecture
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16:15

A Collaborative Mechanism for Crowdsourcing Prediction Problems

Jacob Abernethy

Jan 25, 2012

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7840 Views

Lecture

Oral Session 11

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38:15

The Neuronal Replicator Hypothesis: Novel Mechanisms for Information Transfer an...

Eörs Szathmáry,

Chrisantha Fernando

Jan 25, 2012

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5718 Views

Invited Talk
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17:02

Continuous-Time Regression Models for Longitudinal Networks

Arthur Asuncion

Jan 25, 2012

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3854 Views

Lecture

Oral Session 12

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21:33

Scalable Training of Mixture Models via Coresets

Matthew Faulkner

Jan 25, 2012

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5210 Views

Lecture
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12:00

Fast and Accurate k-means For Large Datasets

Michael Shindler

Jan 25, 2012

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8465 Views

Lecture

Oral Session 13

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46:24

Towards an Understanding of Olfactory Computation

Gilles Laurent

Jan 25, 2012

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4561 Views

Invited Talk
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21:46

Empirical models of spiking in neural populations

Lars Buesing

Jan 25, 2012

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3644 Views

Lecture

Oral Session 14

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17:31

Manifold Tangent Classifier

Yann Dauphin

Jan 25, 2012

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9253 Views

Lecture
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20:00

Reconstructing Patterns of Information Diffusion from Incomplete Observations

Flavio Chierichetti

Jan 25, 2012

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3339 Views

Lecture