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Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
10 references·2 citing·47 second hop
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities (2024)Decision-Focused Learning: Foundations, S…A survey of contextual optimization methods for decision-making under uncertainty (2024)A survey of contextual optimi…Smart “Predict, then Optimize” (2021)Smart “Predict, then Optimize”From Predictive to Prescriptive Analytics (2019)From Predictive to Prescripti…Fairness of Exposure in Rankings (2018)Fairness of Exposure in Ranki…Task-based End-to-end Model Learning in Stochastic Optimization (2017)Task-based End-to-end Model L…Multistage Stochastic Optimization (2014)Multistage Stochastic Optimiz…Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems (2010)Distributionally Robust Optim…Portfolio Selection with Parameter and Model Uncertainty: A Multi-Prior Approach (2006)Portfolio Selection with Para…Stochastic Programming Models (2003)Stochastic Programming ModelsOptimization under uncertainty: state-of-the-art and opportunities (2003)Optimization under uncertaint…The 15-minute city concept: An operations research perspective and a research agenda (2025)The 15-minute city concept: A…Unlocking efficiency: End-to-end optimization learning for recurrent facility operational planning (2024)Unlocking efficiency: End-to-…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Big data: the management revolution. (2012)Impact of business analytics and enterprise systems on managerial accounting (2017)Frameworks and Results in Distributionally Robust Optimization (2022)PORTFOLIO SELECTION* (1952)Robust Optimization of Large-Scale Systems (1995)Ambiguous chance constrained problems and robust optimization (2005)Introduction to Stochastic Programming (2011)A Guide to Sample Average Approximation (2014)Hybrid simulation–optimization methods: A taxonomy and discussion (2014)Studies in Mathematical Theory of Inventory and Production (1959)Robust Convex Optimization (1998)Optimization of conditional value-at-risk (2000)Recent advances in robust optimization: An overview (2013)Distributionally Robust Convex Optimization (2014)Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations (2015)Chance-Constrained Programming (1959)Decision Making in a Fuzzy Environment (2007)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Simulation optimization: a review of algorithms and applications (2015)Supply chain network design under uncertainty: A comprehensive review and future research directions (2017)A Stochastic Approximation Method (1951)Dynamic Version of the Economic Lot Size Model (1958)Dynamic Version of the Economic Lot Size Model (2004)From natural language to simulations: applying AI to automate simulation modelling of logistics systems (2023)Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability (2023)Fairness through awareness (2012)Big Data's Disparate Impact (2014)Equality of Opportunity in Supervised Learning (2016)Equity of Attention (2018)Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)Risk, Uncertainty and Profit (1921)Risk, Ambiguity, and the Savage Axioms (1961)Optimum consumption and portfolio rules in a continuous-time model (1971)Optimal Portfolio Choice with Parameter Uncertainty (2007)Bank risk and monetary policy (2009)60 Years of portfolio optimization: Practical challenges and current trends (2013)Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher (1987)Lectures on Stochastic Programming: Modeling and Theory (2009)Multistage stochastic programming with a random number of stages: Applications in hurricane disaster relief logistics planning (2024)Scenarios and Policy Aggregation in Optimization Under Uncertainty (1991)Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations (2017)Distributionally Robust Stochastic Programming (2017)Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls (2018)Computational sustainability (2019)A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics (2021)
this work references cited by second hop

References

  • 2010Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems1,910 cited
  • 2003Optimization under uncertainty: state-of-the-art and opportunities1,180 cited
  • 2021Smart “Predict, then Optimize”829 cited
  • 2019From Predictive to Prescriptive Analytics781 cited
  • 2006Portfolio Selection with Parameter and Model Uncertainty: A Multi-Prior Approach690 cited
  • 2018Fairness of Exposure in Rankings607 cited
  • 2003Stochastic Programming Models453 cited
  • 2014Multistage Stochastic Optimization260 cited
  • 2017Task-based End-to-end Model Learning in Stochastic Optimization202 cited
  • 2024A survey of contextual optimization methods for decision-making under uncertainty165 cited

Cited by

  • 2025The 15-minute city concept: An operations research perspective and a research agenda7 cited
  • 2024Unlocking efficiency: End-to-end optimization learning for recurrent facility operational planning5 cited

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