distributionally robust optimization

Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits NeurIPS 2022 Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization AISTATS 2022 Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization NeurIPS 2022 Improving Task-free Continual Learning by Distributionally Robust Memory Evolution ICML 2022 Learning Distributionally Robust Models at Scale via Composite Optimization ICLR 2022 Learning to Solve Routing Problems via Distributionally Robust Optimization AAAI 2022 Meta-learning without data via Wasserstein distributionally-robust model fusion UAI 2022 Minimax Regret Optimization for Robust Machine Learning under Distribution Shift COLT 2022 Model Agnostic Sample Reweighting for Out-of-Distribution Learning ICML 2022 Moment Distributionally Robust Tree Structured Prediction NeurIPS 2022 On-Demand Sampling: Learning Optimally from Multiple Distributions NeurIPS 2022 On Distributionally Robust Optimization and Data Rebalancing AISTATS 2022 On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations JMLR 2022 On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract) AAAI 2022 Randomized Stochastic Gradient Descent Ascent AISTATS 2022 Tencent’s Multilingual Machine Translation System for WMT22 Large-Scale African Languages EMNLP 2022 Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints NeurIPS 2022 Wasserstein Logistic Regression with Mixed Features NeurIPS 2022 When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee ICML 2022 Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization AISTATS 2022 Active Learning for Distributionally Robust Level-Set Estimation ICML 2021 An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives NeurIPS 2021 Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach L4DC 2021 Coping with Label Shift via Distributionally Robust Optimisation ICLR 2021 Distributionally Robust Imitation Learning NeurIPS 2021