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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Introductions
Introduction and overview of FMRI concepts and terminology
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Learning when test and Trainig Imputs have different distributions
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Invited talks
On Efficient Sequential Decision Making in Structured Problems
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Path Integral Method for Estimation of Time Series
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When Training and Test Distributions are Different: Characterising Learning Tran...
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Can Adaptive Regularization Help?
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Learning Classifiers in Distribution and Cost-sensitive Environments
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Optimality of Bayesian Transduction - Implications for Input Non-stationarity
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Lectures
Implications of decoding for theories of neural representation
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Challenges and limitations in interpreting learnt classifiers
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Exploring human object-vision with hi-res fMRI and information-based analysis
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Spatiotemporal classification
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Generative Models for Decoding Real-Valued Natural Experience in FMRI
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Classifying single trial fMRI: What can machine learning learn?
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Hidden Process Models:Decoding Overlapping Cognitive States with Unknown Timing
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Unsupervised fMRI Analysis
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Feature Induction Using Boosting and Logistic Regression on fMRI Images
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fMRI-based decoding of the modified default-mode network in mild cognitive impai...
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Learning to Compare Examples
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Conformal Multi-Instance Kernels
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Fast Discriminative Component Analysis for Comparing Examples
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Finite horizon exploration for path integral control problems
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Use of variance estimation in the multi-armed bandit problem
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Regret to the Best vs. Regret to the Average
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Effects of Stress and Genotype on Exploration-Exploitation Dynamics in Reinforce...
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Exploration exploitation in Go: UCT for Monte-Carlo Go
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A Tutorial Introduction to Stochastic Differential Equations: Continuous-time Ga...
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Variational Bayes for Continuous-time Nonlinear State-space Models
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How Random is a Coin Toss? Bayesian Inference and the Symbolic Dynamics of Deter...
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The Empirical Bayes Estimation of an Instantaneous Spike Rate with a Gaussian Pr...
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Inferring Latent Functions with Gaussian Processes in Differential Equations
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Estimating the Joint AUC of Labelled and Unlabelled Data
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A Domain Adaptation Formal Framework Addressing the Training/Test Distribution G...
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Active Learning, Model Selection and Covariate Shift
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Visualizing Pairwise Similarity via Semidefinite Programming
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A Divergence Prior for Adaptive Learning.
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Exploration Vs. Explotation
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Introduction to the On-line Trading of Exploration and Exploitation Workshop
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