distributionally robust optimization

Distributionally Robust Multilingual Machine Translation EMNLP 2021 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021 Distributionally Robust Optimization with Markovian Data ICML 2021 DORO: Distributional and Outlier Robust Optimization ICML 2021 Evaluating model performance under worst-case subpopulations NeurIPS 2021 Examining and Combating Spurious Features under Distribution Shift ICML 2021 Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning AISTATS 2021 First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021 Generalization Bounds for (Wasserstein) Robust Optimization NeurIPS 2021 Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation AISTATS 2021 Linear Models are Robust Optimal Under Strategic Behavior AISTATS 2021 Modeling the Second Player in Distributionally Robust Optimization ICLR 2021 Modified Frank Wolfe in Probability Space NeurIPS 2021 Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis NeurIPS 2021 Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers ICML 2021 Robust Generalization despite Distribution Shift via Minimum Discriminating Information NeurIPS 2021 Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts ICML 2021 Wasserstein Distributionally Robust Inverse Multiobjective Optimization AAAI 2021 Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021 Adaptive Sampling for Stochastic Risk-Averse Learning NeurIPS 2020 AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning AISTATS 2020 Correlation Robust Influence Maximization NeurIPS 2020 Data-driven distributionally robust LQR with multiplicative noise L4DC 2020 Distributionally Robust Bayesian Optimization AISTATS 2020 Distributionally Robust Bayesian Quadrature Optimization AISTATS 2020