Menu
NIPS Workshops, Whistler 2006

NIPS Workshops, Whistler 2006

38 Videos · Dec 7, 2006

About

The Neural Information Processing Systems (NIPS) Foundation is a non-profit corporation whose purpose is to foster the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects. Neural information processing is a field which benefits from a combined view of biological, physical, mathematical, and computational sciences. The primary focus of the NIPS Foundation is the presentation of a continuing series of professional meetings known as the Neural Information Processing Systems Conference, held over the years at various locations in the United States and Canada.

Videos

Introductions

video-img
09:55

Learning when test and Trainig Imputs have different distributions

Joaquin Quiñonero Candela

calendar icon Feb 25, 2007 6026 views

video-img
27:27

Introduction and overview of FMRI concepts and terminology

John-Dylan Haynes

calendar icon Feb 25, 2007 11244 views

Invited talks

video-img
28:50

Can Adaptive Regularization Help?

Matthias Hein

calendar icon Feb 25, 2007 5111 views

video-img
46:12

Path Integral Method for Estimation of Time Series

Juan Restrepo

calendar icon Feb 25, 2007 8971 views

video-img
25:32

Optimality of Bayesian Transduction - Implications for Input Non-stationarity

Lars Kai Hansen

calendar icon Feb 25, 2007 4813 views

video-img
46:17

On Efficient Sequential Decision Making in Structured Problems

Adam Kalai

calendar icon Feb 25, 2007 5654 views

video-img
29:49

When Training and Test Distributions are Different: Characterising Learning Tran...

Amos Storkey

calendar icon Feb 25, 2007 7006 views

video-img
28:47

Learning Classifiers in Distribution and Cost-sensitive Environments

Nitesh Chawla

calendar icon Feb 25, 2007 4932 views

Lectures

video-img
12:10

Unsupervised fMRI Analysis

David R. Hardoon

calendar icon Feb 25, 2007 6926 views

video-img
14:41

fMRI-based decoding of the modified default-mode network in mild cognitive impai...

Fabian Theis

calendar icon Feb 25, 2007 5912 views

video-img
42:39

A Tutorial Introduction to Stochastic Differential Equations: Continuous-time Ga...

Chris Williams

calendar icon Feb 25, 2007 71657 views

video-img
11:30

Feature Induction Using Boosting and Logistic Regression on fMRI Images

Melissa K. Carroll

calendar icon Feb 25, 2007 8713 views

video-img
08:50

Visualizing Pairwise Similarity via Semidefinite Programming

Amir Globerson

calendar icon Feb 25, 2007 5748 views

video-img
22:35

A Divergence Prior for Adaptive Learning.

Xiao Li

calendar icon Feb 25, 2007 4714 views

video-img
28:25

Finite horizon exploration for path integral control problems

Bert Kappen

calendar icon Feb 25, 2007 4890 views

video-img
02:41

Introduction to the On-line Trading of Exploration and Exploitation Workshop

Zakria Hussain

calendar icon Feb 25, 2007 5072 views

video-img
18:16

The Empirical Bayes Estimation of an Instantaneous Spike Rate with a Gaussian Pr...

Shinsuke Koyama

calendar icon Feb 25, 2007 4695 views

video-img
37:57

Variational Bayes for Continuous-time Nonlinear State-space Models

Antti Honkela

calendar icon Feb 25, 2007 6925 views

video-img
15:01

Estimating the Joint AUC of Labelled and Unlabelled Data

Thomas Gartner

calendar icon Feb 25, 2007 4308 views

video-img
26:30

Use of variance estimation in the multi-armed bandit problem

Jean Yves Audibert

calendar icon Feb 25, 2007 4549 views

video-img
19:23

Hidden Process Models:Decoding Overlapping Cognitive States with Unknown Timing

Rebecca Hutchinson

calendar icon Feb 25, 2007 3843 views

video-img
27:50

Active Learning, Model Selection and Covariate Shift

Masashi Sugiyama

calendar icon Feb 25, 2007 7678 views

video-img
27:11

Conformal Multi-Instance Kernels

Matthew B. Blaschko

calendar icon Feb 25, 2007 4937 views

video-img
15:07

Generative Models for Decoding Real-Valued Natural Experience in FMRI

Greg Stephens

calendar icon Feb 25, 2007 5427 views

video-img
21:43

Fast Discriminative Component Analysis for Comparing Examples

Jaakko Peltonen

calendar icon Feb 25, 2007 3563 views

video-img
23:13

How Random is a Coin Toss? Bayesian Inference and the Symbolic Dynamics of Deter...

Christopher Strelioff

calendar icon Feb 25, 2007 6701 views

video-img
15:51

Effects of Stress and Genotype on Exploration-Exploitation Dynamics in Reinforce...

Gedi Lukšys

calendar icon Feb 25, 2007 4908 views

video-img
36:17

Inferring Latent Functions with Gaussian Processes in Differential Equations

Neil D. Lawrence

calendar icon Feb 25, 2007 5295 views

video-img
04:41

Exploration exploitation in Go: UCT for Monte-Carlo Go

Silvain Gelly

calendar icon Feb 25, 2007 8234 views

video-img
17:05

Learning to Compare Examples

David Grangier

calendar icon Feb 25, 2007 4667 views

video-img
29:13

Exploring human object-vision with hi-res fMRI and information-based analysis

Nikolaus Kriegeskorte

calendar icon Feb 25, 2007 8336 views

video-img
33:21

Challenges and limitations in interpreting learnt classifiers

Francisco Pereira

calendar icon Feb 25, 2007 5145 views

video-img
22:23

Regret to the Best vs. Regret to the Average

Eyal Even Dar

calendar icon Feb 25, 2007 3172 views

video-img
12:29

Classifying single trial fMRI: What can machine learning learn?

Paul Mazaika

calendar icon Feb 25, 2007 6328 views

video-img
06:24

Exploration Vs. Explotation

Zakria Hussain

calendar icon Feb 25, 2007 5036 views

video-img
24:11

Spatiotemporal classification

Janaina Mourao-Miranda

calendar icon Feb 25, 2007 8197 views

video-img
36:38

Implications of decoding for theories of neural representation

James V. Haxby

calendar icon Feb 25, 2007 9772 views

video-img
32:55

A Domain Adaptation Formal Framework Addressing the Training/Test Distribution G...

Shai Ben-David

calendar icon Feb 25, 2007 5121 views

Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International license.