Learning Theory

Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory JMLR 2010 A Theory of Multiclass Boosting NeurIPS 2010 Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes JMLR 2010 Closing the Learning-Planning Loop with Predictive State Representations RSS 2010 Contextual Multi-Armed Bandits AISTATS 2010 Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NeurIPS 2010 Empirical Bernstein Inequalities for U-Statistics NeurIPS 2010 Empirical Risk Minimization with Approximations of Probabilistic Grammars NeurIPS 2010 Evidence-Specific Structures for Rich Tractable CRFs NeurIPS 2010 Exact learning curves for Gaussian process regression on large random graphs NeurIPS 2010 Fast global convergence rates of gradient methods for high-dimensional statistical recovery NeurIPS 2010 Finite-sample Analysis of Bellman Residual Minimization ACML 2010 Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data JMLR 2010 Identifying Dendritic Processing NeurIPS 2010 Impossibility Theorems for Domain Adaptation AISTATS 2010 Kernel Partial Least Squares is Universally Consistent AISTATS 2010 Learnability, Stability and Uniform Convergence JMLR 2010 Learning Bounds for Importance Weighting NeurIPS 2010 Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity AISTATS 2010 Lower Bounds on Rate of Convergence of Cutting Plane Methods NeurIPS 2010 LSTD with Random Projections NeurIPS 2010 Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering ACML 2010 Model Selection: Beyond the Bayesian/Frequentist Divide JMLR 2010 Multivariate Dyadic Regression Trees for Sparse Learning Problems NeurIPS 2010 Multi-View Active Learning in the Non-Realizable Case NeurIPS 2010