generalization bound

An Exponential Tail Bound for the Deleted Estimate AAAI 2019 A Primal-Dual link between GANs and Autoencoders NeurIPS 2019 A Principled Approach for Learning Task Similarity in Multitask Learning IJCAI 2019 A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression AAAI 2019 Average Individual Fairness: Algorithms, Generalization and Experiments NeurIPS 2019 Capacity Control of ReLU Neural Networks by Basis-Path Norm AAAI 2019 Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees AAAI 2019 Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds ICLR 2019 Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience ICLR 2019 Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks NeurIPS 2019 Distributionally Robust Optimization and Generalization in Kernel Methods NeurIPS 2019 Distribution-Dependent Analysis of Gibbs-ERM Principle COLT 2019 Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NeurIPS 2019 Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks ICML 2019 Generalization Bounds for Neural Networks via Approximate Description Length NeurIPS 2019 Generalization Bounds in the Predict-then-Optimize Framework NeurIPS 2019 Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks NeurIPS 2019 Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations JMLR 2019 High probability generalization bounds for uniformly stable algorithms with nearly optimal rate COLT 2019 Hypothesis Set Stability and Generalization NeurIPS 2019 Improved Generalization Bounds for Robust Learning ALT 2019 Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates NeurIPS 2019 Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers NeurIPS 2019 Learning-Based Low-Rank Approximations NeurIPS 2019 Learning from Weakly Dependent Data under Dobrushin’s Condition COLT 2019