Adaptive and Optimal Online Linear Regression on L1-balls

Adaptive Forgetting Factor Fictitious Play

Adaptive Hedge

Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs

Adaptive Policies for Sequential Sampling under Incomplete Information and a Cost Constraint

Additive Covariance Kernels for High-Dimensional Gaussian Process Modeling

Additive Gaussian Processes

Additive Kernels for Gaussian Process Modeling

Algebraic Comparison of Partial Lists in Bioinformatics

Algebraic Geometric Comparison of Probability Distributions

Algorithmic Detection of Computer Generated Text

Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration

An ADMM Algorithm for a Class of Total Variation Regularized Estimation Problems

An Analysis of the Convergence of Graph Laplacians

An application of the stationary phase method in estimating probability densities of function derivatives

An Efficient Proximal Gradient Method for General Structured Sparse Learning

An empirical comparative study of approximate methods for binary graphical models; application to the search of associations among causes of death in French death certificates

An Information Geometric Framework for Dimensionality Reduction

An information-theoretic derivation of min-cut based clustering

An Introduction to Artificial Prediction Markets for Classification