distributionally robust optimization

Distributionally Robust Counterfactual Risk Minimization AAAI 2020 Distributionally Robust Federated Averaging NeurIPS 2020 Distributionally Robust Formulation and Model Selection for the Graphical Lasso AISTATS 2020 Distributionally Robust Local Non-parametric Conditional Estimation NeurIPS 2020 Distributionally Robust Neural Networks ICLR 2020 Distributionally Robust Parametric Maximum Likelihood Estimation NeurIPS 2020 Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020 Ensuring Fairness Beyond the Training Data NeurIPS 2020 Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine NeurIPS 2020 FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis ICML 2020 Hierarchically Robust Representation Learning CVPR 2020 Large-Scale Methods for Distributionally Robust Optimization NeurIPS 2020 Learning Student Networks with Few Data AAAI 2020 No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems NeurIPS 2020 Robustness to Spurious Correlations via Human Annotations ICML 2020 Training individually fair ML models with sensitive subspace robustness ICLR 2020 A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NeurIPS 2019 Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization NeurIPS 2019 Differentiable Convex Optimization Layers NeurIPS 2019 Distributionally Robust Language Modeling EMNLP 2019 Distributionally Robust Optimization and Generalization in Kernel Methods NeurIPS 2019 Distributionally Robust Semi-Supervised Learning for People-Centric Sensing AAAI 2019 Distributionally Robust Submodular Maximization AISTATS 2019 Multivariate Distributionally Robust Convex Regression under Absolute Error Loss NeurIPS 2019 Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation NeurIPS 2019