distributionally robust optimization

Regularization via Mass Transportation JMLR 2019 Robust Online Matching with User Arrival Distribution Drift AAAI 2019 Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression NeurIPS 2019 A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization JMLR 2018 Bayesian Adversarial Learning NeurIPS 2018 Certifying Some Distributional Robustness with Principled Adversarial Training ICLR 2018 Distributionally Robust Graphical Models NeurIPS 2018 Fairness Without Demographics in Repeated Loss Minimization ICML 2018 Minimax Statistical Learning with Wasserstein distances NeurIPS 2018 Wasserstein Distributionally Robust Kalman Filtering NeurIPS 2018 Distributionally Robust Groupwise Regularization Estimator ACML 2017 Variance-based Regularization with Convex Objectives NeurIPS 2017 Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NeurIPS 2016 Distributionally Robust Logistic Regression NeurIPS 2015 Data-driven Distributionally Robust Polynomial Optimization NeurIPS 2013 Distributionally Robust Markov Decision Processes NeurIPS 2010