About
PAC-Bayes theory is a framework for deriving some of the tightest generalization bounds available. Many well established learning algorithms can be justified in the PAC-Bayes framework and even improved. PAC-Bayes bounds were originally applicable to classification, but over the last few years the theory has been extended to regression, density estimation, and problems with non iid data. The theory is well established within a small group of the statistical learning community, and has now matured to a level where it is relevant to a wider audience. The workshop will include tutorials on the foundations of the theory as well as recent findings through peer reviewed presentations.
PAC Bayes theory or applications. In particular: application to:
* regression
* density estimation
* hypothesis testing
* structured density estimation
* non-iid data
* sequential data
More about the workshop at PAC Bayesian Learning
Videos
Tutorials

PAC-Bayes Theory in Supervised Learning
Apr 14, 2010
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4820 views

PAC-Bayesian Bounds and Aggregation
Apr 14, 2010
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3457 views
Invited Talks

Robust PAC-Bayes Bounds
Apr 14, 2010
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3052 views

Some PAC-Bayesian Theorems
Apr 14, 2010
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3880 views

Bounding the Gaussian Process Information Gain: Applications to PAC-Bayes and GP...
Apr 14, 2010
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4925 views

Incompatibilities(?) between PAC-Bayes and Exploration
Apr 14, 2010
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3214 views
Lectures

PAC-Bayesian Analysis in Unsupervised Learning
Apr 14, 2010
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3841 views

Expectation-prior PAC-Bayes Bounds for SVMs
Apr 14, 2010
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2893 views

Data-dependent Prior PAC-Bayes Bounds: Empirical Study
Apr 14, 2010
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2888 views

Efficient Mixture Modeling with RKHS Embeddings: A PAC-Bayesian Analysis
Apr 14, 2010
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2930 views

PAC-Bayes, Sample Compress and Kernel Methods
Apr 14, 2010
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3296 views

PAC Bayesian Bounds for Spare Regression Estimation with Exponential Weights
Apr 14, 2010
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3814 views

Bayes Average Case Performance of PAC - Bayes Bounds
Apr 14, 2010
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2915 views

Distribution-Dependent PAC-Bayes Priors
Apr 14, 2010
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3606 views

PAC-Bayes Analysis: Links to Luckiness and Applications
Apr 14, 2010
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3797 views