robust optimization

Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation CVPR 2023 Byzantine-Tolerant Methods for Distributed Variational Inequalities NeurIPS 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023 Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker NeurIPS 2023 Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs NeurIPS 2023 Fast Bellman Updates for Wasserstein Distributionally Robust MDPs NeurIPS 2023 Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations NeurIPS 2023 Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization JMLR 2023 Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples ICML 2023 Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization CVPR 2023 Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023 NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing ACL 2023 On the Adversarial Robustness of Out-of-distribution Generalization Models NeurIPS 2023 Percentile Criterion Optimization in Offline Reinforcement Learning NeurIPS 2023 Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation ACML 2023 Revisiting Rotation Averaging: Uncertainties and Robust Losses CVPR 2023 Robust Collaborative Learning with Linear Gradient Overhead ICML 2023 Robust distillation for worst-class performance: on the interplay between teacher and student objectives UAI 2023 Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity NeurIPS 2023 Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization CVPR 2023 Robust Graph Dictionary Learning ICLR 2023 Robust Lipschitz Bandits to Adversarial Corruptions NeurIPS 2023 RobustNeRF: Ignoring Distractors With Robust Losses CVPR 2023 Robustness Guarantees for Adversarially Trained Neural Networks NeurIPS 2023 Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program AAAI 2023