The connection between information theory and learning theory

Nonlinear Dimensionality Reduction

Correlated Equilibria and Graphical Games

A tutorial on sample complexity bounds

Tightness of machine learning bounds (lyx,tex,
ps)

Compiling planners (lyx,tex,
ps)

Planning (lyx,tex,
ps)

Parallelization of computations on grids.

Cribbage (lyx,tex,
ps)

IC2000

improved margin bound

PAC stability bounds

Maximum Entropy

Tight sample complexity bounds

Decision theoretic particle filters

Spam detection

IC2001

Proofs of learning

Conservative Policy Iteration (lyx)

Generative vs. Discriminative classification (lyx)

PAC-Bayes lyx, tex

Introductory PAC lyx, tex

Stochastic Neural Nets lyx, tex

Train and Test bounds lyx, tex

PAC-Bayes and margin bounds lyx, tex

jcl@cmu.edu