Workshop on Optimization and Inference in Machine Learning and Physics, Lavin 2005

Workshop on Optimization and Inference in Machine Learning and Physics, Lavin 2005

18 Lectures · Jan 18, 2005

About

Optimization and inference are two important computational problems that arise in many machine learning and physical contexts. Bayesian inference consists of the computation of marginal probabilities in high dimensional probability models. It is at the core of many machine learning applications such as computer vision, robotics, expert systems and pattern recognition. Also optimization is found in many applications such as optimal control, Markov decision processes and expert systems.

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Lectures

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34:02

Bounds and estimates for BP convergence on binary undirected graphical models

Joris Mooij

Feb 25, 2007

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4421 Views

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38:12

Advanced message passing techniques for distributed storage

David Saad

Feb 25, 2007

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3430 Views

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01:00:09

From clustering to algorithms

Riccardo Zecchina

Feb 25, 2007

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4642 Views

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53:37

A statistical mechanics analysis of ncoded CDMA with regular LDPC codes

David Saad

Feb 25, 2007

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3378 Views

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58:44

Generalized Belief Propagation Receiver for Near-Optimal Detection of Two-Dimens...

Noam Shental

Feb 25, 2007

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3337 Views

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01:15:04

Replica symmetry breaking in the `small world' spin glass

Bastian Wemmenhove

Feb 25, 2007

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3886 Views

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01:04:31

Estimating MAP-configurations in graphical models by exploiting structure

Kees Albers

Feb 25, 2007

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4304 Views

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40:31

Kikuchi free energies with weak consistency constraints: change point learning i...

Onno Zoeter

Feb 25, 2007

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3014 Views

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54:06

Unified survey-belief propagation approach for satisfiability

Marco Pretti

Feb 25, 2007

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3760 Views

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01:12:25

Cluster Variation Method: from statistical mechanics to message passing algorith...

Alessandro Pelizzola

Feb 25, 2007

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6659 Views

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01:09:41

Modified Belief Propagation: an Algorithm for Optimization Problems

Jort van Mourik

Feb 25, 2007

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4652 Views

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40:22

Approximations with Reweighted Generalized Belief Propagation

Wim Wiegerinck

Feb 25, 2007

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3530 Views

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01:09:03

Expectation Consistent Approximate Inference

Ole Winther

Feb 25, 2007

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3562 Views

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33:27

Application of expectation consistent approximate inference

Manfred Opper

Feb 25, 2007

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3144 Views

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32:43

Sequential Superparamagnetic Clustering as Network Self-organisation Process

Thomas Ott

Feb 25, 2007

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4830 Views

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01:04:00

Leave-one-out prediction error as a diagnostic tool

Sebino Stramaglia

Feb 25, 2007

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3287 Views

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01:03:34

A path integral approach to stochastic optimal control

Bert Kappen

Feb 25, 2007

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7480 Views

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01:19:26

Measures of behavior from periodic orbits

Ruedi Stoop

Feb 25, 2007

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3051 Views

Lecture