generalization bound

Characterization of Excess Risk for Locally Strongly Convex Population Risk NeurIPS 2022 Conditionally Gaussian PAC-Bayes AISTATS 2022 Creating Training Sets via Weak Indirect Supervision ICLR 2022 DAVINZ: Data Valuation using Deep Neural Networks at Initialization ICML 2022 Discrepancy-Based Active Learning for Domain Adaptation ICLR 2022 Distribution-Informed Neural Networks for Domain Adaptation Regression NeurIPS 2022 Does Momentum Change the Implicit Regularization on Separable Data? NeurIPS 2022 Does the Data Induce Capacity Control in Deep Learning? ICML 2022 Enhancing Adversarial Training With Second-Order Statistics of Weights CVPR 2022 Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness NeurIPS 2022 Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability NeurIPS 2022 Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study NeurIPS 2022 Fairness Trade-Offs and Partial Debiasing ACML 2022 Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning ICML 2022 Fast rates for noisy interpolation require rethinking the effect of inductive bias ICML 2022 Federated Learning with Positive and Unlabeled Data ICML 2022 Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms NeurIPS 2022 Generalization Analysis of Message Passing Neural Networks on Large Random Graphs NeurIPS 2022 Generalization Bounded Implicit Learning of Nearly Discontinuous Functions L4DC 2022 Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects JMLR 2022 Generalization Bounds for Data-Driven Numerical Linear Algebra COLT 2022 Generalization Bounds for Gradient Methods via Discrete and Continuous Prior NeurIPS 2022 Generalization Bounds for Stochastic Gradient Descent via Localized ε-Covers NeurIPS 2022 Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers ICML 2022 Generalization Bounds via Convex Analysis COLT 2022