Overview

Predict-then-optimize studies pipelines that predict quantities such as costs, demand, or outcomes and feed those estimates into an optimization model to choose actions. Methods include decision-focused losses such as SPO+, differentiable and solver-free surrogates, bilevel or KKT reformulations, and robust or conformal approaches to uncertainty. They are used in settings including shortest paths, knapsack problems, portfolios, energy scheduling, and resource allocation. A central tension is that predictive accuracy may not reflect decision quality, while methods that improve decisions must also address computational scale, uncertainty, and fairness.

Latest papers

CardsList

36 papers8 papers in the last four weeks, up 14% on the four weeks before. 0.0% of all new papers.

  1. Contextual Decision Making: Predictive or Generative

    Oct 23, 2026L. Jeff Hong, Weihuan Huang, Xinyao LiPredict-Then-OptimizeDecision-Making under Uncertainty

  2. Preventing Model Extraction in Contextual Linear Optimization

    Oct 21, 2026Adam N. Elmachtoub, Tianyi Lin, Wenxuan LiuModel Extraction AttacksPredict-Then-Optimize

  3. The Predictive--Optimization Gap in GuanDan Self-Play

    Oct 21, 2026Qicheng Zou, Biao Yuan, Siyu Song +2Predict-Then-OptimizeSelf-Play RL

  4. Waiting Buys Exactly Two Moments: Endogenous Identification in Prediction-Driven Allocation

    Oct 16, 2026Rama AlHamidi, Rasul Khanbayov, Erchin Serpedin +1Sequential Decision MakingPredict-Then-Optimize

  5. Fairness under Prediction Error in Predict-then-Optimize Pipelines

    Oct 13, 2026Hilda Adwubi OseiAlgorithmic FairnessGroup Fairness

  6. FedRSPO+: A Heterogeneity-aware Algorithm for Decision-focused Federated Learning

    Oct 6, 2026Konstantinos Ziliaskopoulos, Alexander Vinel, Jiaqi WangDecision-Focused LearningFederated Learning

  7. DePICT: Decision-Preserving Interface for Constrained Downstream Tasks

    Oct 2, 2026Utkarsh Grover, Ravi Ranjan, Agoritsa Polyzou +4Predict-Then-OptimizeConstrained Optimization

  8. RL-PaO: Prediction as Action in Decision Making under Uncertainty

    Sep 29, 2026Jiahui Feng, Dafang Zhao, Zheng Chen +2Predict-Then-OptimizeDecision-Making under Uncertainty

  9. Geometric Identification in Predict-Then-Optimize Learning

    Sep 27, 2026Jiaxiao Xu, Changhong Mou, Keji Liu +2Predict-Then-OptimizeDecision-Focused Learning

  10. Predict Before You Modify: Learning Improvement Dynamics for Self-Evolving Agents

    Sep 26, 2026Zixuan Xie, Chang Xu, Yuhua Jiang +1LLM Agent Self-ImprovementSelf-Improving Agents

  11. PolyStepOR: Learning to Decide Without Optimal Decisions

    Sep 26, 2026Viet The Nguyen, Gunther Gust, An Thai LeDecision-Focused LearningPredict-Then-Optimize

  12. Conformal Robustness in Prediction-Driven Decision-Making

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

  13. Decision-Focused Learning for Mean-Variance Portfolio Optimization via KKT-Based Reformulation

    Sep 18, 2026Kensei Nosaka, Shunnosuke Ikeda, Yuichi TakanoPortfolio OptimizationDecision-Focused Learning

  14. Optimizing for the decision not the prediction: an exploration of Smooth Net Benefit as a training objective

    Sep 11, 2026Koen M. F. Gorgels, Lasai Barreñada, Maarten van Smeden +3Predict-Then-OptimizeDecision-Focused Learning

  15. Decision-Driven Regularization: A Blended Model for Learning and Optimization

    Aug 15, 2026Gar Goei Loke, Qinshen Tang, Yangge Xiao +1Predict-Then-OptimizeLearning to Optimize

  16. Chance-constrained selection of sequential intervention strategies from counterfactual estimates

    Aug 13, 2026Minkyoung Kim, Beakcheol JangStochastic OptimizationChance-Constrained Optimization

  17. Local Violation Certification for Linear Predict-Then-Optimize Pipelines

    Aug 5, 2026Ş. İlker Birbil, Wenhao ChiAlgorithmic AuditingPredict-Then-Optimize

  18. Smart predict-then-robustly-optimize

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

  19. Decision-Value Attribution in Predict-then-Optimize Systems

    Jun 29, 2026Konstantinos Ziliaskopoulos, Alexander Vinel, Alice E. SmithFeature AttributionPredict-Then-Optimize

  20. Generating Input Distributions for Explaining Portfolio Optimization Pipelines

    Jun 24, 2026Batuhan Ataş, Nurşen Aydın, E. Mehmet Kıral +1Counterfactual ExplanationsPredict-Then-Optimize

  21. Decision-Focused Learning: When and Why Traditional Prediction Models Fail

    Jun 19, 2026Mo LiuPredict-Then-OptimizeDecision-Focused Learning

  22. A Solver-Free Training Method for Predict-then-Optimize

    Jun 17, 2026Beichen Wan, Mo LiuPredict-Then-OptimizeLearning to Optimize

  23. Scaling Decision-Focused Learning to Large Problems with Lagrangian Decomposition

    Jun 7, 2026Stéphane Eilles-Chan Way, Hugo Percot, Quentin Cappart +2Predict-Then-OptimizeLearning to Optimize

  24. Decision-Focused On-Policy Learning for Contextual Linear Optimization with Partial Feedback

    May 31, 2026Wyame Benslimane, Tinghan Ye, Pascal Van Hentenryck +1Predict-Then-OptimizeDecision-Focused Learning

  25. Misspecified Estimate-then-Optimize Leads to Supra-Competitive Prices

    May 15, 2026Jackie Baek, Vivek F. Farias, Farrell WuPredict-Then-OptimizeLearning to Optimize

  26. IGT-OMD: Implicit Gradient Transport for Decision-Focused Learning under Delayed Feedback

    May 12, 2026Benjamin Amoh, Geoffrey G. Parker, Wesley MarreroPredict-Then-OptimizeDecision-Focused Learning

  27. Plan Before You Trade: Inference-Time Optimization for RL Trading Agents

    May 12, 2026Eun Go, Rohan Deb, Arindam BanerjeeReinforcement LearningInference-Time Optimization

  28. Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers

    Apr 13, 2026I. Esra BuyuktahtakinReinforcement LearningPredict-Then-Optimize