distributionally robust optimization

Mixed-Feature Logistic Regression Robust to Distribution Shifts AISTATS 2025 MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures ICLR 2025 Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws ICML 2025 Out-of-distribution Robust Optimization UAI 2025 PEARL: Towards Permutation-Resilient LLMs ICLR 2025 Preserving AUC Fairness in Learning with Noisy Protected Groups ICML 2025 Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization ICLR 2025 Re-Evaluating Group Robustness via Adaptive Class-Specific Scaling WACV 2025 Revisiting Large-Scale Non-convex Distributionally Robust Optimization ICLR 2025 Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control ICLR 2025 Robust Spatio-Temporal Centralized Interaction for OOD Learning ICML 2025 Structure-informed Risk Minimization for Robust Ensemble Learning ICML 2025 Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval AAAI 2025 Toward Robust Neural Reconstruction from Sparse Point Sets CVPR 2025 Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization ICLR 2025 Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation AAAI 2025 Universal generalization guarantees for Wasserstein distributionally robust models ICLR 2025 Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context AISTATS 2025 Adaptive Preference Scaling for Reinforcement Learning with Human Feedback NeurIPS 2024 Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024 AdvST: Revisiting Data Augmentations for Single Domain Generalization AAAI 2024 Analysis of Kernel Mirror Prox for Measure Optimization AISTATS 2024 A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint) AAAI 2024 A Unified Framework for Bayesian Optimization under Contextual Uncertainty ICLR 2024 A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch NeurIPS 2024