generalization guarantee

Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective COLT 2023 Adaptive Data Analysis with Correlated Observations ICML 2022 Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling ICML 2022 Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy NeurIPS 2022 Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials NeurIPS 2022 Open Problem: Better Differentially Private Learning Algorithms with Margin Guarantees COLT 2022 PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime AISTATS 2022 Pairwise Fairness for Ordinal Regression AISTATS 2022 Provably tuning the ElasticNet across instances NeurIPS 2022 Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees ICML 2022 Supervised Learning with General Risk Functionals ICML 2022 Data driven semi-supervised learning NeurIPS 2021 Deep Networks Provably Classify Data on Curves NeurIPS 2021 Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability NeurIPS 2021 How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? ICLR 2021 Remember What You Want to Forget: Algorithms for Machine Unlearning NeurIPS 2021 Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning NeurIPS 2021 Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction NeurIPS 2021 Stability and Generalization of Decentralized Stochastic Gradient Descent AAAI 2021 Towards Robust Model Reuse in the Presence of Latent Domains IJCAI 2021 An Unbiased Risk Estimator for Learning with Augmented Classes NeurIPS 2020 Generalization Guarantees for Imitation Learning CoRL 2020 Learning nonlinear dynamical systems from a single trajectory L4DC 2020 On Computation and Generalization of Generative Adversarial Imitation Learning ICLR 2020 On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels COLT 2020