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.
Videos
Lectures

Expectation Consistent Approximate Inference
Feb 25, 2007
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3570 views

Unified survey-belief propagation approach for satisfiability
Feb 25, 2007
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3762 views

From clustering to algorithms
Feb 25, 2007
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4646 views

Kikuchi free energies with weak consistency constraints: change point learning i...
Feb 25, 2007
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3016 views

Estimating MAP-configurations in graphical models by exploiting structure
Feb 25, 2007
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4305 views

Bounds and estimates for BP convergence on binary undirected graphical models
Feb 25, 2007
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4429 views

Sequential Superparamagnetic Clustering as Network Self-organisation Process
Feb 25, 2007
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4879 views

Replica symmetry breaking in the `small world' spin glass
Feb 25, 2007
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3888 views

Cluster Variation Method: from statistical mechanics to message passing algorith...
Feb 25, 2007
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6666 views

Generalized Belief Propagation Receiver for Near-Optimal Detection of Two-Dimens...
Feb 25, 2007
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3338 views

A statistical mechanics analysis of ncoded CDMA with regular LDPC codes
Feb 25, 2007
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3380 views

Application of expectation consistent approximate inference
Feb 25, 2007
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3146 views

Modified Belief Propagation: an Algorithm for Optimization Problems
Feb 25, 2007
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4654 views

Leave-one-out prediction error as a diagnostic tool
Feb 25, 2007
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3289 views

Measures of behavior from periodic orbits
Feb 25, 2007
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3054 views

Advanced message passing techniques for distributed storage
Feb 25, 2007
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3433 views

Approximations with Reweighted Generalized Belief Propagation
Feb 25, 2007
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3534 views

A path integral approach to stochastic optimal control
Feb 25, 2007
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7530 views