Robust Optimization

Robust Offline Policy Learning with Observational Data from Multiple Sources AISTATS 2025 Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces AISTATS 2025 Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context AISTATS 2025 Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions UAI 2024 Distributionally Robust Optimization with Bias and Variance Reduction ICLR 2024 Distributionally Robust Performative Prediction NeurIPS 2024 End-to-end Conditional Robust Optimization UAI 2024 f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization ICLR 2024 Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NeurIPS 2024 Learning from Noisy Labels via Conditional Distributionally Robust Optimization NeurIPS 2024 Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning COLT 2024 Model-Free Robust Reinforcement Learning with Sample Complexity Analysis UAI 2024 Online Policy Optimization for Robust Markov Decision Process UAI 2024 On the Fairness ROAD: Robust Optimization for Adversarial Debiasing ICLR 2024 Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract) COLT 2024 Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning NeurIPS 2024 Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts ICLR 2023 Covariate-Shift Generalization via Random Sample Weighting AAAI 2023 Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training NeurIPS 2023 Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty AAAI 2023 Provably Robust and Plausible Counterfactual Explanations for Neural Networks via Robust Optimisation ACML 2023 Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization ICLR 2023 Distributionally Robust Fair Principal Components via Geodesic Descents ICLR 2022 Distributionally Robust Models with Parametric Likelihood Ratios ICLR 2022 Evaluating Robustness to Dataset Shift via Parametric Robustness Sets NeurIPS 2022