24th Annual Conference on Neural Information Processing Systems (NIPS), Vancouver 2010

24th Annual Conference on Neural Information Processing Systems (NIPS), Vancouver 2010

14 Lectures · Dec 6, 2010

About

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

A one-day Tutorial Program offered a choice of six two-hour tutorials by leading scientists. The topics span a wide range of subjects including Neuroscience, Learning Algorithms and Theory, Bioinformatics, Image Processing, and Data Mining.

The NIPS Conference featured 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 were 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. Posner Lecturers were Josh Tenebaum and Michael Jordan.

The Poster Sessions offered high-quality posters and an opportunity for researchers to share their work and exchange ideas in a collegial setting. The majority of contributions accepted at NIPS were presented as posters.

The Demonstrations enabled researchers to highlight scientific advances, systems, and technologies in ways that go beyond conventional poster presentations. It provided a unique forum for demonstrating advanced technologies — both hardware and software — and fostering the direct exchange of knowledge.

Detailed information can be found at NIPS 2010 Conference homepage.


Click on the picture for the videos from 2010 NIPS Spotlights. ||[[:machine_learning_video_abstracts_vol1]]|| Click on the picture for the videos from 2010 NIPS Workshops. ||[[:nipsworkshops2010_whistler]]||

Related categories

Uploaded videos:

Opening of the NIPS 2010 Conference

video-img
28:38

Opening Remarks and Awards

John Shawe-Taylor,

Terrence J. Sejnowski,

Richard Zemel

Jan 13, 2011

 · 

4699 Views

Opening
video-img
09:30

Remembering Partha Niyogi

David McAllester

Jan 13, 2011

 · 

3800 Views

Lecture

Invited Talks

video-img
52:22

How Does the Brain Compute and Compare Values at the Time of Decision-Making?

Antonio Rangel

Jan 12, 2011

 · 

6141 Views

Invited Talk
video-img
49:41

Machine Learning with Human Intelligence: Principled Corner Cutting (PC2)

Xiao-Li Meng

Jan 12, 2011

 · 

5769 Views

Invited Talk
video-img
48:27

The Interplay of Machine Learning and Mechanism Design

David C. Parkes

Jan 12, 2011

 · 

6326 Views

Invited Talk
video-img
44:56

Statistical Inference of Protein Structure and Function

Michael I. Jordan

Jan 12, 2011

 · 

9768 Views

Invited Talk
video-img
58:21

Perceptual Bases for Rules of Thumb in Photography

Martin S. Banks

Jan 12, 2011

 · 

5207 Views

Invited Talk
video-img
56:36

How to Grow a Mind: Statistics, Structure and Abstraction

Joshua B. Tenenbaum

Jan 12, 2011

 · 

48103 Views

Invited Talk

Tutorials

video-img
02:02:13

High-dimensional Statistics: Prediction, Association and Causal Inference

Peter Bühlmann

Jan 12, 2011

 · 

13150 Views

Tutorial
video-img
01:56:27

Reinforcement Learning for Embodied Cognition

Dana H. Ballard

Jan 12, 2011

 · 

5171 Views

Tutorial
video-img
01:49:35

Optimization Algorithms in Machine Learning

Stephen J. Wright

Jan 12, 2011

 · 

65714 Views

Tutorial
video-img
01:40:57

Reinforcement Learning in Humans and Other Animals

Nathaniel Daw

Jan 12, 2011

 · 

5964 Views

Tutorial
video-img
01:48:34

Latent Factor Models for Relational Arrays and Network Data

Peter Hoff

Jan 12, 2011

 · 

9542 Views

Tutorial
video-img
01:57:40

Vision-Based Control, Control-Based Vision, and the Information Knot That Ties T...

Stefano Soatto

Jan 12, 2011

 · 

10772 Views

Tutorial