{"total":317,"rows":[{"id":"2103.16378","title":"End-to-End Constrained Optimization Learning: A Survey","created":"2021-03-30","cited_by_count":157,"area":null},{"id":"2307.13565","title":"Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities","created":"2023-07-25","cited_by_count":130,"area":null},{"id":"2106.01798","title":"Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions","created":"2021-06-03","cited_by_count":98,"area":null},{"id":"2306.10374","title":"A Survey of Contextual Optimization Methods for Decision Making under Uncertainty","created":"2023-06-17","cited_by_count":82,"area":null},{"id":"2112.03609","title":"Decision-Focused Learning: Through the Lens of Learning to Rank","created":"2021-12-07","cited_by_count":62,"area":null},{"id":"2206.14234","title":"PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming","created":"2022-06-28","cited_by_count":32,"area":null},{"id":"2111.04469","title":"Mixed-Integer Optimization with Constraint Learning","created":"2021-11-04","cited_by_count":31,"area":null},{"id":"2412.19726","title":"Position: Theory of Mind Benchmarks are Broken for Large Language Models","created":"2024-12-27","cited_by_count":31,"area":null},{"id":"2108.08887","title":"Risk Bounds and Calibration for a Smart Predict-then-Optimize Method","created":"2021-08-19","cited_by_count":29,"area":null},{"id":"2207.13513","title":"Learning with Combinatorial Optimization Layers: a Probabilistic Approach","created":"2022-07-27","cited_by_count":29,"area":null},{"id":"2110.02121","title":"Optimization with Constraint Learning: A Framework and Survey","created":"2021-10-05","cited_by_count":28,"area":null},{"id":"2207.06272","title":"Hindsight Learning for MDPs with Exogenous Inputs","created":"2022-07-13","cited_by_count":26,"area":null},{"id":"2104.04103","title":"Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters","created":"2021-04-08","cited_by_count":25,"area":null},{"id":"2110.12351","title":"Integrated Conditional Estimation-Optimization","created":"2021-10-24","cited_by_count":25,"area":null},{"id":"2310.10003","title":"Conformal Contextual Robust Optimization","created":"2023-10-16","cited_by_count":25,"area":null},{"id":"2210.01802","title":"Alternating Differentiation for Optimization Layers","created":"2022-10-03","cited_by_count":22,"area":null},{"id":"2210.12547","title":"SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems","created":"2022-10-22","cited_by_count":21,"area":null},{"id":"2211.15728","title":"Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing","created":"2022-11-28","cited_by_count":21,"area":null},{"id":"2304.06833","title":"Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective","created":"2023-04-13","cited_by_count":20,"area":null},{"id":"2112.07464","title":"Efficient differentiable quadratic programming layers: an ADMM approach","created":"2021-12-14","cited_by_count":19,"area":null},{"id":"2211.13837","title":"End-to-End Stochastic Optimization with Energy-Based Model","created":"2022-11-25","cited_by_count":19,"area":null},{"id":"2111.10723","title":"End-to-end Learning for Fair Ranking Systems","created":"2021-11-21","cited_by_count":18,"area":null},{"id":"2305.16830","title":"Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize","created":"2023-05-26","cited_by_count":18,"area":null},{"id":"2307.08964","title":"Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information","created":"2023-07-18","cited_by_count":18,"area":null},{"id":"2502.05468","title":"Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making","created":"2025-02-08","cited_by_count":18,"area":null},{"id":"2206.05134","title":"Distributionally Robust End-to-End Portfolio Construction","created":"2022-06-10","cited_by_count":17,"area":null},{"id":"2403.04670","title":"End-to-end Conditional Robust Optimization","created":"2024-03-07","cited_by_count":17,"area":null},{"id":"2402.03256","title":"Decision-Focused Learning with Directional Gradients","created":"2024-02-05","cited_by_count":16,"area":null},{"id":"2106.10349","title":"The Perils of Learning Before Optimizing","created":"2021-06-18","cited_by_count":15,"area":null},{"id":"2409.20534","title":"End-to-End Conformal Calibration for Optimization Under Uncertainty","created":"2024-09-30","cited_by_count":15,"area":null},{"id":"2207.13554","title":"Data-Driven Sample Average Approximation with Covariate Information","created":"2022-07-27","cited_by_count":14,"area":null},{"id":"2209.01754","title":"Learning from a Biased Sample","created":"2022-09-05","cited_by_count":14,"area":null},{"id":"2211.08507","title":"Decision-Aware Learning for Optimizing Health Supply Chains","created":"2022-11-15","cited_by_count":14,"area":null},{"id":"2302.03963","title":"Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control","created":"2023-02-08","cited_by_count":14,"area":null},{"id":"2502.00828","title":"Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization","created":"2025-02-02","cited_by_count":14,"area":null},{"id":"2301.11260","title":"Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming","created":"2023-01-26","cited_by_count":13,"area":null},{"id":"2301.12047","title":"Backpropagation of Unrolled Solvers with Folded Optimization","created":"2023-01-28","cited_by_count":13,"area":null},{"id":"2306.13796","title":"On Learning Latent Models with Multi-Instance Weak Supervision","created":"2023-06-23","cited_by_count":13,"area":null},{"id":"2410.01767","title":"Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification","created":"2024-10-02","cited_by_count":13,"area":null},{"id":"2202.00916","title":"Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health","created":"2022-02-02","cited_by_count":12,"area":null},{"id":"2203.16067","title":"Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses","created":"2022-03-30","cited_by_count":12,"area":null},{"id":"2206.07316","title":"Online Contextual Decision-Making with a Smart Predict-then-Optimize Method","created":"2022-06-15","cited_by_count":12,"area":null},{"id":"2209.04862","title":"Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models","created":"2022-09-11","cited_by_count":12,"area":null},{"id":"2210.11834","title":"Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles","created":"2022-10-21","cited_by_count":12,"area":null},{"id":"2102.07456","title":"Neuro-algorithmic Policies enable Fast Combinatorial Generalization","created":"2021-02-15","cited_by_count":11,"area":null},{"id":"2103.17232","title":"Neuro-Symbolic Constraint Programming for Structured Prediction","created":"2021-03-31","cited_by_count":11,"area":null},{"id":"2209.03668","title":"Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints","created":"2022-09-08","cited_by_count":11,"area":null},{"id":"2301.13395","title":"Differentiating Through Integer Linear Programs with Quadratic Regularization and Davis-Yin Splitting","created":"2023-01-31","cited_by_count":11,"area":null},{"id":"2307.05213","title":"Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning","created":"2023-07-11","cited_by_count":11,"area":null},{"id":"2312.05250","title":"TaskMet: Task-Driven Metric Learning for Model Learning","created":"2023-12-08","cited_by_count":11,"area":null},{"id":"2401.03244","title":"Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process","created":"2024-01-06","cited_by_count":11,"area":null},{"id":"2510.08748","title":"Conformal Risk Training: End-to-End Optimization of Conformal Risk Control","created":"2025-10-09","cited_by_count":11,"area":null},{"id":"2304.00789","title":"Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time Windows","created":"2023-04-03","cited_by_count":10,"area":null},{"id":"2305.07730","title":"Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms","created":"2023-05-12","cited_by_count":10,"area":null},{"id":"2309.00203","title":"Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming","created":"2023-09-01","cited_by_count":10,"area":null},{"id":"2406.12771","title":"First-Order Methods for Linearly Constrained Bilevel Optimization","created":"2024-06-18","cited_by_count":10,"area":null},{"id":"2411.19285","title":"BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning","created":"2024-11-28","cited_by_count":10,"area":null},{"id":"2503.00626","title":"Dissecting the Impact of Model Misspecification in Data-driven Optimization","created":"2025-03-01","cited_by_count":10,"area":null},{"id":"2510.27610","title":"ORGEval: Graph-Theoretic Evaluation of LLMs in Optimization Modeling","created":"2025-10-31","cited_by_count":10,"area":null},{"id":"2105.08313","title":"Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach","created":"2021-05-18","cited_by_count":9,"area":null},{"id":"2203.07505","title":"Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems","created":"2022-03-14","cited_by_count":9,"area":null},{"id":"2310.06253","title":"A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning","created":"2023-10-10","cited_by_count":9,"area":null},{"id":"2407.13664","title":"Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization","created":"2024-07-18","cited_by_count":9,"area":null},{"id":"2505.21692","title":"What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization","created":"2025-05-27","cited_by_count":9,"area":null},{"id":"2505.22224","title":"Solver-Free Decision-Focused Learning for Linear Optimization Problems","created":"2025-05-28","cited_by_count":9,"area":null},{"id":"2311.07633","title":"Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime","created":"2023-11-13","cited_by_count":8,"area":null},{"id":"2312.07718","title":"CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs","created":"2023-12-12","cited_by_count":8,"area":null},{"id":"2405.15251","title":"Learning to optimize: A tutorial for continuous and mixed-integer optimization","created":"2024-05-24","cited_by_count":8,"area":null},{"id":"2406.13882","title":"Allocation Requires Prediction Only if Inequality Is Low","created":"2024-06-19","cited_by_count":8,"area":null},{"id":"2406.16571","title":"Differentiable Distributionally Robust Optimization Layers","created":"2024-06-24","cited_by_count":8,"area":null},{"id":"2410.11061","title":"Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees","created":"2024-10-14","cited_by_count":8,"area":null},{"id":"2501.13648","title":"Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel$-$Young Loss Perspective and Gap-Dependent Regret Analysis","created":"2025-01-23","cited_by_count":8,"area":null},{"id":"2109.06911","title":"Learning and Decision-Making with Data: Optimal Formulations and Phase Transitions","created":"2021-09-14","cited_by_count":7,"area":null},{"id":"2301.10074","title":"Explainable Data-Driven Optimization: From Context to Decision and Back Again","created":"2023-01-24","cited_by_count":7,"area":null},{"id":"2302.02944","title":"Learning Complementary Policies for Human-AI Teams","created":"2023-02-06","cited_by_count":7,"area":null},{"id":"2305.00362","title":"Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach","created":"2023-04-30","cited_by_count":7,"area":null},{"id":"2402.08180","title":"Online Structured Prediction with Fenchel--Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss","created":"2024-02-13","cited_by_count":7,"area":null},{"id":"2412.09734","title":"MPAX: Mathematical Programming in JAX","created":"2024-12-12","cited_by_count":7,"area":null},{"id":"2102.07060","title":"Achieving Efficiency in Black Box Simulation of Distribution Tails with Self-structuring Importance Samplers","created":"2021-02-14","cited_by_count":6,"area":null},{"id":"2108.00858","title":"Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management","created":"2021-07-28","cited_by_count":6,"area":null},{"id":"2111.09933","title":"Loss Functions for Discrete Contextual Pricing with Observational Data","created":"2021-11-18","cited_by_count":6,"area":null},{"id":"2112.08091","title":"Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems","created":"2021-12-15","cited_by_count":6,"area":null},{"id":"2204.08572","title":"Expert-Calibrated Learning for Online Optimization with Switching Costs","created":"2022-04-18","cited_by_count":6,"area":null},{"id":"2205.00897","title":"Fast Continuous and Integer L-shaped Heuristics Through Supervised Learning","created":"2022-05-02","cited_by_count":6,"area":null},{"id":"2211.05116","title":"A Note on Task-Aware Loss via Reweighing Prediction Loss by Decision-Regret","created":"2022-11-09","cited_by_count":6,"area":null},{"id":"2212.01314","title":"On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds","created":"2022-12-02","cited_by_count":6,"area":null},{"id":"2306.04174","title":"End-to-End Learning for Stochastic Optimization: A Bayesian Perspective","created":"2023-06-07","cited_by_count":6,"area":null},{"id":"2407.05920","title":"LPGD: A General Framework for Backpropagation through Embedded Optimization Layers","created":"2024-07-08","cited_by_count":6,"area":null},{"id":"2510.04951","title":"Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints","created":"2025-10-06","cited_by_count":6,"area":null},{"id":"2605.08866","title":"Tight Generalization Bounds for Noiseless Inverse Optimization","created":"2026-05-09","cited_by_count":6,"area":null},{"id":"2107.07508","title":"USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems","created":"2021-07-15","cited_by_count":5,"area":null},{"id":"2202.04369","title":"A new perspective on classification: optimally allocating limited resources to uncertain tasks","created":"2022-02-09","cited_by_count":5,"area":null},{"id":"2205.01672","title":"Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize","created":"2022-05-01","cited_by_count":5,"area":null},{"id":"2303.06698","title":"Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints","created":"2023-03-12","cited_by_count":5,"area":null},{"id":"2306.00172","title":"Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees","created":"2023-05-31","cited_by_count":5,"area":null},{"id":"2310.04328","title":"Robust Losses for Decision-Focused Learning","created":"2023-10-06","cited_by_count":5,"area":null},{"id":"2409.09684","title":"Return Prediction for Mean-Variance Portfolio Selection: How Decision-Focused Learning Shapes Forecasting Models","created":"2024-09-15","cited_by_count":5,"area":null},{"id":"2501.19334","title":"The Value of Prediction in Identifying the Worst-Off","created":"2025-01-31","cited_by_count":5,"area":null},{"id":"2503.01936","title":"Decision-Focused Fine-Tuning of Time Series Foundation Models for Dispatchable Feeder Optimization","created":"2025-03-03","cited_by_count":5,"area":null},{"id":"2106.05724","title":"Distributionally Robust Prescriptive Analytics with Wasserstein Distance","created":"2021-06-10","cited_by_count":4,"area":null}],"next_cursor":"100"}