Learning Theory

Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012 Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NeurIPS 2012 Generalization Bounds for Domain Adaptation NeurIPS 2012 Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions COLT 2012 Identifiability and Unmixing of Latent Parse Trees NeurIPS 2012 Imitation Learning by Coaching NeurIPS 2012 Iterative ranking from pair-wise comparisons NeurIPS 2012 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Learning DNF Expressions from Fourier Spectrum COLT 2012 Learning Fourier Sparse Set Functions AISTATS 2012 Learning from Distributions via Support Measure Machines NeurIPS 2012 Learning from Weak Teachers AISTATS 2012 Learning Functions of Halfspaces Using Prefix Covers COLT 2012 Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs NeurIPS 2012 Learning Mixtures of Tree Graphical Models NeurIPS 2012 Learning Multiple Tasks using Shared Hypotheses NeurIPS 2012 Learning optimal spike-based representations NeurIPS 2012 Learning Probability Measures with respect to Optimal Transport Metrics NeurIPS 2012 Learning Valuation Functions COLT 2012 Mirror Descent Meets Fixed Share (and feels no regret) NeurIPS 2012 Mixability in Statistical Learning NeurIPS 2012 Mixability is Bayes Risk Curvature Relative to Log Loss JMLR 2012 Multi-armed Bandit Problems with History AISTATS 2012 Multiclass Learning Approaches: A Theoretical Comparison with Implications NeurIPS 2012