NIPS Workshops, Whistler 2006

NIPS Workshops, Whistler 2006

38 Lectures · 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.

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Uploaded videos:

Introductions

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27:27

Introduction and overview of FMRI concepts and terminology

John-Dylan Haynes

Feb 25, 2007

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11220 Views

Introduction
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09:55

Learning when test and Trainig Imputs have different distributions

Joaquin Quiñonero Candela

Feb 25, 2007

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6016 Views

Introduction

Invited talks

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46:17

On Efficient Sequential Decision Making in Structured Problems

Adam Kalai

Feb 25, 2007

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5637 Views

Invited Talk
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46:12

Path Integral Method for Estimation of Time Series

Juan Restrepo

Feb 25, 2007

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8954 Views

Invited Talk
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29:49

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

Amos Storkey

Feb 25, 2007

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6987 Views

Invited Talk
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28:50

Can Adaptive Regularization Help?

Matthias Hein

Feb 25, 2007

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5100 Views

Invited Talk
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28:47

Learning Classifiers in Distribution and Cost-sensitive Environments

Nitesh Chawla

Feb 25, 2007

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4909 Views

Lecture
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25:32

Optimality of Bayesian Transduction - Implications for Input Non-stationarity

Lars Kai Hansen

Feb 25, 2007

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4794 Views

Invited Talk

Lectures

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36:38

Implications of decoding for theories of neural representation

James V. Haxby

Feb 25, 2007

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9743 Views

Invited Talk
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33:21

Challenges and limitations in interpreting learnt classifiers

Francisco Pereira

Feb 25, 2007

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5140 Views

Lecture
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29:13

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

Nikolaus Kriegeskorte

Feb 25, 2007

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8309 Views

Invited Talk
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24:11

Spatiotemporal classification

Janaina Mourao-Miranda

Feb 25, 2007

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8176 Views

Invited Talk
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15:07

Generative Models for Decoding Real-Valued Natural Experience in FMRI

Greg Stephens

Feb 25, 2007

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5400 Views

Lecture
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12:29

Classifying single trial fMRI: What can machine learning learn?

Paul Mazaika

Feb 25, 2007

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6308 Views

Lecture
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19:23

Hidden Process Models:Decoding Overlapping Cognitive States with Unknown Timing

Rebecca Hutchinson

Feb 25, 2007

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3831 Views

Lecture
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12:10

Unsupervised fMRI Analysis

David R. Hardoon

Feb 25, 2007

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6893 Views

Lecture
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11:30

Feature Induction Using Boosting and Logistic Regression on fMRI Images

Melissa K. Carroll

Feb 25, 2007

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8702 Views

Lecture
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14:41

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

Fabian Theis

Feb 25, 2007

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5893 Views

Lecture
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17:05

Learning to Compare Examples

David Grangier

Feb 25, 2007

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4647 Views

Lecture
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27:11

Conformal Multi-Instance Kernels

Matthew B. Blaschko

Feb 25, 2007

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4911 Views

Lecture
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21:43

Fast Discriminative Component Analysis for Comparing Examples

Jaakko Peltonen

Feb 25, 2007

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3547 Views

Lecture
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28:25

Finite horizon exploration for path integral control problems

Bert Kappen

Feb 25, 2007

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4862 Views

Lecture
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26:30

Use of variance estimation in the multi-armed bandit problem

Jean Yves Audibert

Feb 25, 2007

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4528 Views

Lecture
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22:23

Regret to the Best vs. Regret to the Average

Eyal Even Dar

Feb 25, 2007

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3161 Views

Lecture
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15:51

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

Gedi Lukšys

Feb 25, 2007

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4879 Views

Lecture
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04:41

Exploration exploitation in Go: UCT for Monte-Carlo Go

Silvain Gelly

Feb 25, 2007

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8199 Views

Lecture
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42:39

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

Chris Williams

Feb 25, 2007

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71602 Views

Tutorial
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37:57

Variational Bayes for Continuous-time Nonlinear State-space Models

Antti Honkela

Feb 25, 2007

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6903 Views

Lecture
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23:13

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

Christopher Strelioff

Feb 25, 2007

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6690 Views

Lecture
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18:16

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

Shinsuke Koyama

Feb 25, 2007

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4676 Views

Lecture
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36:17

Inferring Latent Functions with Gaussian Processes in Differential Equations

Neil D. Lawrence

Feb 25, 2007

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5290 Views

Lecture
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15:01

Estimating the Joint AUC of Labelled and Unlabelled Data

Thomas Gartner

Feb 25, 2007

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4296 Views

Lecture
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32:55

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

Shai Ben-David

Feb 25, 2007

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5109 Views

Lecture
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27:50

Active Learning, Model Selection and Covariate Shift

Masashi Sugiyama

Feb 25, 2007

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7538 Views

Lecture
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08:50

Visualizing Pairwise Similarity via Semidefinite Programming

Amir Globerson

Feb 25, 2007

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5728 Views

Lecture
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22:35

A Divergence Prior for Adaptive Learning.

Xiao Li

Feb 25, 2007

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4698 Views

Lecture
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06:24

Exploration Vs. Explotation

Zakria Hussain

Feb 25, 2007

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5020 Views

Lecture
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02:41

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

Zakria Hussain

Feb 25, 2007

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5062 Views

Lecture