Overview

It formulates decisions against uncertainty using worst-case objectives, regret, or distributionally robust ambiguity sets, including Wasserstein and scenario-based models. Methods range from convex and dual reformulations and scenario reduction to conformal calibration, learned uncertainty sets, and robust predict-then-optimize. Applications include portfolios, supply chains, scheduling, resource allocation, and machine learning, often evaluated under distribution shifts or adversarial perturbations. A central tension is how to provide useful guarantees without making decisions overly conservative or computationally intractable; calibration, problem structure, and the choice of uncertainty set remain decisive.

Latest papers

CardsList

49 papers3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

  1. On Johnson-Lindenstrauss Transforms for Byzantine-Robust Optimization

    Oct 20, 2026Aleksandr Shestakov, Vladimir Aletov, Aleksandr BeznosikovRobust OptimizationDistributed Optimization

  2. Robust Optimization of Spring Design under Variable Manufacturing Tolerances

    Oct 3, 2026Grzegorz Sroka, Slawomir T. WierzchonRobust OptimizationConstrained Optimization

  3. Robust Non-Clairvoyant Scheduling with Classification Models

    Oct 1, 2026Anthony Dugois, Vincent Fagnon, Giorgio LucarelliRobust OptimizationLearning-Augmented Algorithms

  4. Conformal Robustness in Prediction-Driven Decision-Making

    Sep 19, 2026Lingjie Zhao, Hansheng Jiang, Wei QiRobust OptimizationPredict-Then-Optimize

  5. Mitigating Over-Optimization in PRM-Guided Search in Mathematical Reasoning by Optimizing the Guide

    Aug 30, 2026Taejong Joo, Diego KlabjanReward Over-OptimizationInference-Time Search

  6. Which LLM for Which Work? Budgeted Model Allocation under Uncertain Evaluation

    Aug 30, 2026Hamed Khosravi, Xiaoming HuoLLM EvaluationCost-Aware Inference

  7. Cone Rayleigh Levels: Finite Perturbations and Certified Control

    Aug 27, 2026Yavdat Sh. Il'yasov, Nur F. ValeevRobust OptimizationSpectral Methods

  8. Process Optimization Under Uncertainty for Improving the Bond Quality of Polymer Filaments in Fused Filament Fabrication

    Aug 19, 2026Berkcan Kapusuzoglu, Matthew Sato, Sankaran Mahadevan +1Additive ManufacturingRobust Optimization

  9. Multi-Objective Optimization Under Uncertainty of Part Quality in Fused Filament Fabrication

    Aug 19, 2026Berkcan Kapusuzoglu, Paromita Nath, Matthew Sato +2Multi-Objective OptimizationAdditive Manufacturing

  10. Statistical Properties of Robust Learning under Distributional Shifts

    Aug 13, 2026Zhiyi Li, Xiaojie Mao, Yunbei Xu +1Distribution Shift RobustnessDistributionally Robust Optimization

  11. A Graph Neural Network--Guided Genetic Algorithm for Physical Internet Supply Chain Optimization under Cost Uncertainty

    Aug 10, 2026Faezeh Ardali, Gerald M. KnappGraph Neural NetworksEvolutionary Optimization

  12. First-order Constrained Trilevel Optimization Over Distributed Networks for Robust Coreset Selection

    Jul 30, 2026Yang Jiao, Kaixuan Jiao, Kai Yang +4Distributed OptimizationRobust Optimization

  13. Expected Survival-Time Bounds for Robust Optimization Over Time under Isotropic Gaussian Dynamics

    Jul 29, 2026Pavel Novoa-HernándezRobust Optimization

  14. Smart predict-then-robustly-optimize

    Jul 23, 2026Aakil Caunhye, Xuefei Lu, Belen Martin-BarraganDistribution Shift RobustnessPredict-Then-Optimize

  15. Maximally Robust Satisficing Bayesian Optimization

    Jul 15, 2026Samuli Kinnunen, Petrus Mikkola, Antti Niskanen +1Bayesian OptimizationBlack-Box Optimization

  16. Robust Design of Integrated Sensing and Communication in LEO Satellite Systems

    Jul 14, 2026Hezhen Yang, Xiaoming Chen, Qi WangIntegrated Sensing and CommunicationRobust Optimization

  17. SLAM: Structured and Localized Analytic Manifold Adaptation for Lifelong VPR

    Jul 6, 2026Kenta Tsukahara, Kanji Tanaka, Rai HisadaVisual Place RecognitionContinual Learning

  18. Distributionally Robust Listwise Preference Optimization

    Jul 2, 2026Xudong Wu, Jian Qian, Pangpang Liu +2LLM AlignmentDistributionally Robust Optimization

  19. Robust Strategic Classification under Decision-Dependent Cost Uncertainty

    Jun 29, 2026Sura Alhanouti, Güzin Bayraksan, Parinaz NaghizadehStrategic ClassificationRobust Optimization

  20. Generative Robust Optimisation

    Jun 21, 2026Yuhui Yin, Vassilis M. CharitopoulosRobust OptimizationMixed-Integer QP

  21. Which Directions Matter? Sparse Design for Affine Robust Optimization

    Jun 12, 2026Pedro Chumpitaz-Flores, My Duong, Juan S. Borrero +1Robust OptimizationDecision-Making under Uncertainty

  22. A Robust Optimization Approach to Sparse Principal Component Analysis

    Jun 2, 2026David Vävinggren, Francis Bach, André M. H. Teixeira +2Principal Component AnalysisRobust Optimization

  23. Unification and Optimization of Robust Supervised Learning

    May 27, 2026Jonas Hanselle, Valentin Margraf, Clemens Damke +1Distribution Shift RobustnessRobust Optimization

  24. Secure Coordination for Vertiport Sequencing in Advanced Air Mobility

    May 20, 2026Jaehan Im, Filippos Fotiadis, Ufuk Topcu +1Multi-Agent CoordinationFalse Data Injection Attacks

  25. Learning Scenario Reduction for Two-Stage Robust Optimization with Discrete Uncertainty

    May 14, 2026Tianjue Lin, Jianan Zhou, Jieyi Bi +4Neural Surrogate ModelingRobust Optimization

  26. Automated Reformulation of Robust Optimization via Memory-Augmented Large Language Models

    May 12, 2026Jinbiao Chen, Shuang Jin, Guoyun Zhang +3Memory-Augmented Language ModelsLarge Language Model-Guided Optimization