generalization bound

Condensed Filter Tree for Cost-Sensitive Multi-Label Classification ICML 2014 Deep Boosting ICML 2014 Maximum Margin Multiclass Nearest Neighbors ICML 2014 Multi-Class Deep Boosting NeurIPS 2014 PAC-Bayesian Collective Stability AISTATS 2014 PAC-Bayesian Theory for Transductive Learning AISTATS 2014 Partition-wise Linear Models NeurIPS 2014 Stable Learning in Coding Space for Multi-Class Decoding and Its Extension for Multi-Class Hypothesis Transfer Learning CVPR 2014 Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees AISTATS 2014 Boosting with the Logistic Loss is Consistent COLT 2013 Collective Stability in Structured Prediction: Generalization from One Example ICML 2013 Differentially Private Learning with Kernels ICML 2013 Learning Multiple Models via Regularized Weighting NeurIPS 2013 Machine Learning with Operational Costs JMLR 2013 On Flat versus Hierarchical Classification in Large-Scale Taxonomies NeurIPS 2013 On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions ICML 2013 PAC-Bayes-Empirical-Bernstein Inequality NeurIPS 2013 Passive Learning with Target Risk COLT 2013 Predictive PAC Learning and Process Decompositions NeurIPS 2013 Principal Component Analysis on non-Gaussian Dependent Data ICML 2013 Sharp Generalization Error Bounds for Randomly-projected Classifiers ICML 2013 Sparsity-Based Generalization Bounds for Predictive Sparse Coding ICML 2013 Stability of Multi-Task Kernel Regression Algorithms ACML 2013 Confusion-Based Online Learning and a Passive-Aggressive Scheme NeurIPS 2012 CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels AISTATS 2012