generalization bound

Margin-Based Generalization Lower Bounds for Boosted Classifiers NeurIPS 2019 McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds NeurIPS 2019 Metric-Optimized Example Weights ICML 2019 Model Similarity Mitigates Test Set Overuse NeurIPS 2019 Multi-Class Learning using Unlabeled Samples: Theory and Algorithm IJCAI 2019 Multitask Metric Learning: Theory and Algorithm AISTATS 2019 Natural Analysts in Adaptive Data Analysis ICML 2019 Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach ICLR 2019 On the Downstream Performance of Compressed Word Embeddings NeurIPS 2019 PAC-Bayes Un-Expected Bernstein Inequality NeurIPS 2019 Positive and Unlabeled Learning with Label Disambiguation IJCAI 2019 Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior AISTATS 2019 Rademacher Complexity for Adversarially Robust Generalization ICML 2019 Random deep neural networks are biased towards simple functions NeurIPS 2019 Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel NeurIPS 2019 Regularization via Mass Transportation JMLR 2019 Regularized Learning for Domain Adaptation under Label Shifts ICLR 2019 Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees AAAI 2019 Robustness to Adversarial Perturbations in Learning from Incomplete Data NeurIPS 2019 Support and Invertibility in Domain-Invariant Representations AISTATS 2019 Theoretical Investigation of Generalization Bound for Residual Networks IJCAI 2019 The role of over-parametrization in generalization of neural networks ICLR 2019 Towards Understanding Knowledge Distillation ICML 2019 Transfer Learning via Minimizing the Performance Gap Between Domains NeurIPS 2019 Uniform convergence may be unable to explain generalization in deep learning NeurIPS 2019