Distributionally-Robust Optimization

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  1. Distributionally Robust Schrödinger Bridge

    Oct 1, 2026Jinhwan Sul, Panagiotis Theodoropoulos, Vincent Pacelli +2Schrödinger BridgesDistributionally-Robust Optimization

  2. Distributionally robust linear regression through the lens of adversarial training

    Sep 30, 2026Elis Stefansson, David Vävinggren, Antônio H. RibeiroDistributionally-Robust OptimizationRobust Optimization

  3. Learning the Robustness Mechanism with Bilevel Optimization

    Sep 28, 2026Yiyang Shen, Qihang Lin, Weiran WangDistributionally-Robust OptimizationLearnability

  4. Distributionally Robust Federated Learning with Multi-Source Data

    Sep 17, 2026Yingzhu Liu, Zhongkui Li, Pengcheng You +1Federated LearningDistributionally-Robust Optimization

  5. Generalization Analysis of Distributed Kernel-based Robust Gradient Descent Algorithms

    Sep 10, 2026Jun-Yi Meng, Zheng-Chu Guo, Yuan MaoDistributionally-Robust OptimizationStochastic Gradient Descent

  6. A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification

    Aug 30, 2026Kehan Long, Yiqi Zhao, Pol Mestres +3Distributionally-Robust OptimizationUncertainty Quantification

  7. Statistical Properties of Robust Learning under Distributional Shifts

    Aug 13, 2026Zhiyi Li, Xiaojie Mao, Yunbei Xu +1Distributionally-Robust OptimizationDistribution Shifts

  8. ARC: Augmented-Rank Conformalization for Changepoint Localization --- Finite-Sample Validity and Distribution-Robust Efficiency

    Aug 9, 2026Chenchen Peng, Mixia Wu, Qijing Yan +2Change-Point DetectionConformal Selection

  9. The Sample Complexity of Distributionally Robust PAC Learning under Cressie--Read Divergences

    Aug 5, 2026Elad Aigner-Horev, Daniel Rosenberg, Roi WeissDistributionally-Robust OptimizationOptimal Sample Complexity

  10. Generalization Bounds on Optimal Control for Transformer Training and Wasserstein Distributional Robustness

    Jul 30, 2026Kağan Akman, Naci Saldi, Serdar YükselDistributionally-Robust OptimizationGeneralization Bounds

  11. Robust Estimation of Sparse Numerical Vectors under Local Differential Privacy

    Jul 30, 2026Puning Zhao, Zhikun Zhang, Shaowei Wang +5Distributionally-Robust OptimizationPoisoning

  12. Generative Distributionally Robust Optimization

    Jul 27, 2026Ziwei Zhang, Jonathan Yu-Meng Li, Zhihao JinDistributionally-Robust OptimizationRobust Optimization

  13. Robust Chance-Constrained Optimization using a Continuous Parameter Space Wasserstein-2 Ambiguity Set of Gaussian Mixtures

    Jul 19, 2026Shibshankar Dey, Sanjay MehrotraDistributionally-Robust OptimizationRobust Optimization

  14. Approximate Relative Entropy Constraints for Nonlinear Covariance Steering Under Distribution Ambiguity

    Jul 18, 2026Trevor N. Wolf, Jay W. McMahonIntent-Aligned Autonomous Spacecraft GuidanceCovariance

  15. PeTeR: Post-Training Robustification of Probabilistic Circuits

    Jul 8, 2026Adrian Ciotinga, Yeming Dai, YooJung ChoiDistributionally-Robust OptimizationProbabilistic Model

  16. Distributionally Robust Linear Regression With Block Lewis Weights

    Jun 30, 2026Naren Sarayu Manoj, Kumar Kshitij PatelDistributionally-Robust OptimizationLeast Squares

  17. Distribution-Agnostic Robust Trajectory Optimization via Chance-Constrained Reinforcement Learning

    Jun 11, 2026Yashdeep Chaudhary, Roberto Armellin, Harry Holt +1Intent-Aligned Autonomous Spacecraft GuidanceRobust Trajectory

  18. Computationally tractable robust differentially private mean estimation

    Jun 10, 2026Kelly RamsayΔ)$-Differential PrivacyDistributionally-Robust Optimization

  19. Conditional Random Ordered Transport Spaces

    Jun 6, 2026Lei Luo, Jian YangDistributionally-Robust OptimizationWasserstein Distance

  20. Improved Distribution Estimation in ℓ∞\ell_\infty

    May 28, 2026Doron Cohen, Aryeh Kontorovich, Yonatan LivshitzConcentration BoundsDistributionally-Robust Optimization

  21. Distributionally Robust Set Representation Learning Under Inference-Time Element Corruption

    May 28, 2026Yankai Chen, Hanrong Zhang, Bowei He +2Distributionally-Robust OptimizationRobust Optimization

  22. Conservative neural posterior estimation via distributionally robust training

    May 27, 2026William Laplante, Yuga Hikida, Charita Dellaporta +2Distributionally-Robust OptimizationOverconfidence

  23. Byzantine-Robust Distributed Sparse Learning Revisited

    May 13, 2026Yuxuan Wang, Lixin Zhang, Kangqiang LiByzantine AttacksDistributionally-Robust Optimization

  24. Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context

    May 8, 2026Tigran Ramazyan, Denis DerkachDistributionally-Robust OptimizationBayesian Optimization

  25. Distributionally-Robust Learning to Optimize

    May 7, 2026Vinit Ranjan, Jisun Park, Bartolomeo StellatoDistributionally-Robust OptimizationConvex Optimization

  26. Distributionally Robust Multi-Objective Optimization

    May 7, 2026Yufeng Yang, Fangning Zhuo, Ziyi Chen +2Distributionally-Robust OptimizationMulti-Objective Optimization

  27. Reliable Modeling of Distribution Shifts via Displacement-Reshaped Optimal Transport

    May 6, 2026Philip Naumann, Jacob Kauffmann, Klaus-Robert Müller +1Distribution ShiftsTransport

  28. Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback

    Apr 30, 2026Yikai Wang, Shang Liu, Jose BlanchetReinforcement Learning From Human FeedbackDistributionally-Robust Optimization

  29. Robust Out-of-Distribution Stochastic Optimization

    Apr 22, 2026Xianyu Li, Huan Xu, Xiaolin Huang +1Distributionally-Robust OptimizationOut-Of-Distribution

  30. Wasserstein Distributionally Robust Risk-Sensitive Estimation via Conditional Value-at-Risk

    Apr 20, 2026Feras Al Taha, Eilyan BitarDistributionally-Robust OptimizationConditional-Value-At-Risk

  31. Contextual Distributionally Robust Optimization with Causal and Continuous Structure

    Jan 16, 2026Fenglin Zhang, Jie WangDistributionally-Robust OptimizationRobust Optimization

  32. BalDRO: A Distributionally Robust Optimization based Framework for Large Language Model Unlearning

    Jan 14, 2026Pengyang Shao, Naixin Zhai, Lei Chen +4Large Language Model UnlearningUnlearnable Examples

  33. Multi-Distribution Robust Conformal Prediction

    Jan 6, 2026Yuqi Yang, Ying JinOnline Conformal PredictionNonconformity Scores

  34. Tight Stability Bounds for Robust Distributed Learning: Byzantine Failures Hurt Generalization More than Data Poisoning

    Jun 22, 2025Thomas Boudou, Batiste Le Bars, Nirupam Gupta +1Byzantine AttacksLearnability

  35. Wasserstein Distributionally Robust Regret Optimization

    Apr 15, 2025Lukas-Benedikt Fiechtner, Jose BlanchetDistributionally-Robust OptimizationRobust Optimization

  36. A stochastic smoothing framework for nonconvex-nonconcave minEmax problems with applications to Wasserstein distributionally robust optimization

    Feb 24, 2025Wei Liu, Muhammad Khan, Gabriel Mancino-Ball +1Stochastic Convex OptimizationDistributionally-Robust Optimization

  37. Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces

    Dec 29, 2024Linglingzhi Zhu, Yunqin Zhu, Yao XieDistributionally-Robust OptimizationRobust Optimization

  38. A Distributionally Robust Optimisation Approach to Fair Credit Scoring

    Feb 2, 2024Pablo Casas, Huan Yu, Christophe MuesDistributionally-Robust OptimizationCredit Risk Prediction