Theory

Stability of K-Means Clustering NeurIPS 2006 Stability Properties of Empirical Risk Minimization over Donsker Classes JMLR 2006 Statistical Comparisons of Classifiers over Multiple Data Sets JMLR 2006 The Interplay of Optimization and Machine Learning Research JMLR 2006 The Robustness-Performance Tradeoff in Markov Decision Processes NeurIPS 2006 Tighter PAC-Bayes Bounds NeurIPS 2006 Universal Kernels JMLR 2006 Asymptotic Model Selection for Naive Bayesian Networks JMLR 2005 Frames, Reproducing Kernels, Regularization and Learning JMLR 2005 Stability of Randomized Learning Algorithms JMLR 2005 Tutorial on Practical Prediction Theory for Classification JMLR 2005 Computable Shell Decomposition Bounds JMLR 2004 Generalization Error Bounds for Threshold Decision Lists JMLR 2004 Large-Sample Learning of Bayesian Networks is NP-Hard JMLR 2004 On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition JMLR 2004 PAC-learnability of Probabilistic Deterministic Finite State Automata JMLR 2004 Rational Kernels: Theory and Algorithms JMLR 2004 Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees JMLR 2004 Some Dichotomy Theorems for Neural Learning Problems JMLR 2004 The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins JMLR 2004 On the Proper Learning of Axis-Parallel Concepts JMLR 2003 Overfitting in Making Comparisons Between Variable Selection Methods JMLR 2003 Sparseness of Support Vector Machines JMLR 2003 Covering Number Bounds of Certain Regularized Linear Function Classes JMLR 2002 Stability and Generalization JMLR 2002