distributionally robust optimization

Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization CVPR 2023 Understanding Contrastive Learning via Distributionally Robust Optimization NeurIPS 2023 Understanding Why Generalized Reweighting Does Not Improve Over ERM ICLR 2023 Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints AISTATS 2023 Adaptive Stochastic MPC under Unknown Noise Distribution L4DC 2022 Adversarially Robust Kernel Smoothing AISTATS 2022 Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm NeurIPS 2022 Bayesian Optimization for Distributionally Robust Chance-constrained Problem ICML 2022 Beyond IID: data-driven decision-making in heterogeneous environments NeurIPS 2022 Certifying Some Distributional Fairness with Subpopulation Decomposition NeurIPS 2022 COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning EMNLP 2022 Coordinate Linear Variance Reduction for Generalized Linear Programming NeurIPS 2022 Coresets for Wasserstein Distributionally Robust Optimization Problems NeurIPS 2022 Distributed Distributionally Robust Optimization with Non-Convex Objectives NeurIPS 2022 Distributionally Robust Q-Learning ICML 2022 Distributionally Robust Fair Principal Components via Geodesic Descents ICLR 2022 Distributionally Robust Finetuning BERT for Covariate Drift in Spoken Language Understanding ACL 2022 Distributionally Robust Models with Parametric Likelihood Ratios ICLR 2022 Distributionally Robust Optimization via Ball Oracle Acceleration NeurIPS 2022 Distributionally Robust Optimization with Data Geometry NeurIPS 2022 Distributionally Robust Recurrent Decoders with Random Network Distillation ACL 2022 Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks AISTATS 2022 Distributionally robust weighted k-nearest neighbors NeurIPS 2022 Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning ICML 2022 Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity ICML 2022