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distributionally robust optimization

185 papers

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Also known as

DRO

Co-occurring keywords

wasserstein distance (417) empirical risk minimization (352) convex optimization (1321) distribution shift (722) domain adaptation (4595) stochastic optimization (1060) generalization bound (652) optimal transport (948) distributionally robust (14) regret bound (1926)

Papers

Robust Generalization despite Distribution Shift via Minimum Discriminating Information NIPS 2021
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis NIPS 2021
Generalization Bounds for (Wasserstein) Robust Optimization NIPS 2021
Linear Models are Robust Optimal Under Strategic Behavior AISTATS 2021
Distributionally Robust Multilingual Machine Translation EMNLP 2021
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives NIPS 2021
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021
Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning AISTATS 2021
Evaluating model performance under worst-case subpopulations NIPS 2021
Examining and Combating Spurious Features under Distribution Shift ICML 2021
DORO: Distributional and Outlier Robust Optimization ICML 2021
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts ICML 2021
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021
Distributionally Robust Optimization with Markovian Data ICML 2021
Active Learning for Distributionally Robust Level-Set Estimation ICML 2021
Modified Frank Wolfe in Probability Space NIPS 2021
Ensuring Fairness Beyond the Training Data NIPS 2020
Robustness to Spurious Correlations via Human Annotations ICML 2020
Large-Scale Methods for Distributionally Robust Optimization NIPS 2020
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020
Distributionally Robust Bayesian Quadrature Optimization AISTATS 2020
Distributionally Robust Formulation and Model Selection for the Graphical Lasso AISTATS 2020
Hierarchically Robust Representation Learning CVPR 2020
Adaptive Sampling for Stochastic Risk-Averse Learning NIPS 2020
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis ICML 2020