generalization bound

On Uniform Convergence and Low-Norm Interpolation Learning NeurIPS 2020 Open Problem: Information Complexity of VC Learning COLT 2020 Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks NeurIPS 2020 Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization AISTATS 2020 PAC-Bayes Analysis Beyond the Usual Bounds NeurIPS 2020 PAC-Bayesian Bound for the Conditional Value at Risk NeurIPS 2020 PAC-Bayesian Contrastive Unsupervised Representation Learning UAI 2020 PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction ICLR 2020 Reasoning About Generalization via Conditional Mutual Information COLT 2020 Robust Regression for Safe Exploration in Control L4DC 2020 Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data ICML 2020 Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms NeurIPS 2020 Sharper Bounds for Uniformly Stable Algorithms COLT 2020 Sharper Generalization Bounds for Pairwise Learning NeurIPS 2020 Stable Rank Normalization for Improved Generalization in Neural Networks and GANs ICLR 2020 Stopping criterion for active learning based on deterministic generalization bounds AISTATS 2020 Target-Embedding Autoencoders for Supervised Representation Learning ICLR 2020 The Performance Analysis of Generalized Margin Maximizers on Separable Data ICML 2020 Topologically Densified Distributions ICML 2020 Understanding Generalization in Deep Learning via Tensor Methods AISTATS 2020 Understanding Generalization in Recurrent Neural Networks ICLR 2020 A Generalization Bound for Online Variational Inference ACML 2019 Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks NeurIPS 2019 An adaptive nearest neighbor rule for classification NeurIPS 2019 An Exponential Efron-Stein Inequality for L_q Stable Learning Rules ALT 2019