generalization bound

Learning Bound for Parameter Transfer Learning NeurIPS 2016 Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers ACML 2016 Learning Kernels with Random Features NeurIPS 2016 Learning Taxonomy Adaptation in Large-scale Classification JMLR 2016 Nearly Optimal Classification for Semimetrics AISTATS 2016 PAC-Bayesian Bounds based on the Rényi Divergence AISTATS 2016 PAC-Bayesian Theory Meets Bayesian Inference NeurIPS 2016 Preference-based Teaching COLT 2016 Stability and Generalization in Structured Prediction JMLR 2016 Algorithmic Stability and Uniform Generalization NeurIPS 2015 Computational Complexity of Linear Large Margin Classification With Ramp Loss AISTATS 2015 Convex Risk Minimization and Conditional Probability Estimation COLT 2015 Curriculum Learning of Multiple Tasks CVPR 2015 Dynamic Sensing: Better Classification under Acquisition Constraints ICML 2015 Entropy-Based Concentration Inequalities for Dependent Variables ICML 2015 Fast Rates for Exp-concave Empirical Risk Minimization NeurIPS 2015 Lifelong Learning with Non-i.i.d. Tasks NeurIPS 2015 Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms NeurIPS 2015 Towards a Learning Theory of Cause-Effect Inference ICML 2015 A Finite-Sample Generalization Bound for Semiparametric Regression: Partially Linear Models AISTATS 2014 (Almost) No Label No Cry NeurIPS 2014 Altitude Training: Strong Bounds for Single-Layer Dropout NeurIPS 2014 A New Perspective on Learning Linear Separators with Large L_qL_p Margins AISTATS 2014 A PAC-Bayesian bound for Lifelong Learning ICML 2014 Concentration in unbounded metric spaces and algorithmic stability ICML 2014