generalization bound

Unsupervised Domain Adaptation Based on Source-Guided Discrepancy AAAI 2019 Unsupervised Learning of the Set of Local Maxima ICLR 2019 Wasserstein Soft Label Propagation on Hypergraphs: Algorithm and Generalization Error Bounds AAAI 2019 Adversarial Learning with Local Coordinate Coding ICML 2018 A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks ICLR 2018 A Study of the Classification of Low-Dimensional Data with Supervised Manifold Learning JMLR 2018 Average Stability is Invariant to Data Preconditioning. Implications to Exp-concave Empirical Risk Minimization JMLR 2018 Chaining Mutual Information and Tightening Generalization Bounds NeurIPS 2018 Data-dependent PAC-Bayes priors via differential privacy NeurIPS 2018 Data-Dependent Stability of Stochastic Gradient Descent ICML 2018 Dropout Training, Data-dependent Regularization, and Generalization Bounds ICML 2018 Empirical Risk Landscape Analysis for Understanding Deep Neural Networks ICLR 2018 Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors ICML 2018 Fast generalization error bound of deep learning from a kernel perspective AISTATS 2018 Generalization Bounds for Regularized Pairwise Learning IJCAI 2018 Generalization Bounds for Uniformly Stable Algorithms NeurIPS 2018 Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds NeurIPS 2018 Learning latent variable structured prediction models with Gaussian perturbations NeurIPS 2018 Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time ICML 2018 Minimax Statistical Learning with Wasserstein distances NeurIPS 2018 Multi-Class Learning: From Theory to Algorithm NeurIPS 2018 On the Discrimination-Generalization Tradeoff in GANs ICLR 2018 Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods ICML 2018 Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate NeurIPS 2018 Probably Approximately Metric-Fair Learning ICML 2018