generalization bound

Domain Adaptation: A Small Sample Statistical Approach AISTATS 2012 Generalization Bounds for Domain Adaptation NeurIPS 2012 Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions COLT 2012 Learning Multiple Tasks using Shared Hypotheses NeurIPS 2012 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012 On Ranking and Generalization Bounds JMLR 2012 PAC-Bayes Bounds with Data Dependent Priors JMLR 2012 Regularization Techniques for Learning with Matrices JMLR 2012 Selective Labeling via Error Bound Minimization NeurIPS 2012 Spectral Learning of General Weighted Automata via Constrained Matrix Completion NeurIPS 2012 Structured Sparsity and Generalization JMLR 2012 Generalization Bound for Infinitely Divisible Empirical Process AISTATS 2011 Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss NeurIPS 2011 Improved Loss Bounds For Multiple Kernel Learning AISTATS 2011 The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers NeurIPS 2011 The Sample Complexity of Dictionary Learning COLT 2011 The Sample Complexity of Dictionary Learning JMLR 2011 Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning NeurIPS 2011 Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes JMLR 2010 Co-regularization Based Semi-supervised Domain Adaptation NeurIPS 2010 Empirical Bernstein Boosting AISTATS 2010 Finite-sample Analysis of Bellman Residual Minimization ACML 2010 Learning Bounds for Importance Weighting NeurIPS 2010 PAC-Bayesian Analysis of Co-clustering and Beyond JMLR 2010 Permutation Complexity Bound on Out-Sample Error NeurIPS 2010