distributional robustness

Stationary Robust Mean-Field Games under Model Mismatches UAI 2026 Identifying and Mitigating Spurious Correlation in Multi-Task Learning CVPR 2025 Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models ICML 2025 Achievable distributional robustness when the robust risk is only partially identified NeurIPS 2024 Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024 Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NeurIPS 2024 DRF: Improving Certified Robustness via Distributional Robustness Framework AAAI 2024 Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering EACL 2024 PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search IJCAI 2024 Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning JMLR 2024 Global-Local Regularization Via Distributional Robustness AISTATS 2023 Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables AISTATS 2023 Optimal Transport Model Distributional Robustness NeurIPS 2023 The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model NeurIPS 2023 Wasserstein distributional robustness of neural networks NeurIPS 2023 A Unified Wasserstein Distributional Robustness Framework for Adversarial Training ICLR 2022 Certifying Out-of-Domain Generalization for Blackbox Functions ICML 2022 Certifying Some Distributional Fairness with Subpopulation Decomposition NeurIPS 2022 CyCLIP: Cyclic Contrastive Language-Image Pretraining NeurIPS 2022 Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP) ICML 2022 Distributionally Adaptive Meta Reinforcement Learning NeurIPS 2022 Explicit Tradeoffs between Adversarial and Natural Distributional Robustness NeurIPS 2022 Exploring The Landscape of Distributional Robustness for Question Answering Models EMNLP 2022 FOCUS: Familiar Objects in Common and Uncommon Settings ICML 2022 Methods for Estimating and Improving Robustness of Language Models NAACL 2022