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Properties of Suboptimality Loss
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Properties of Suboptimality Loss (2025)Properties of Suboptimality LossDecision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities (2024)Decision-Focused Learning: Fo…A survey of contextual optimization methods for decision-making under uncertainty (2024)A survey of contextual optimi…Integrating Prediction/Estimation and Optimization with Applications in Operations Management (2022)Integrating Prediction/Estima…Smart “Predict, then Optimize” (2021)Smart “Predict, then Optimize”From Predictive to Prescriptive Analytics (2019)From Predictive to Prescripti…Data Analytics in Operations Management: A Review (2019)Data Analytics in Operations …The Big Data Newsvendor: Practical Insights from Machine Learning (2018)The Big Data Newsvendor: Prac…Robust sample average approximation (2017)Robust sample average approxi…The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples (2015)The Power of Optimization Ove…A Stochastic Approximation Method (1951)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Optimization of conditional value-at-risk (2000)Impact of business analytics and enterprise systems on managerial accounting (2017)Frameworks and Results in Distributionally Robust Optimization (2022)Design of Experiments (1936)The promise of preschool in Africa: A randomized impact evaluation of early childhood development in rural Mozambique (2013)OptimalA PrioriBalance in the Design of Controlled Experiments (2017)Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization (2022)Handbooks in operations research and management science (1989)Introduction to Stochastic Programming (2011)Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations (2017)Dynamic Version of the Economic Lot Size Model (1958)Dynamic Version of the Economic Lot Size Model (2004)Forecasting: theory and practice (2022)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)Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems (2010)Theory and Applications of Robust Optimization (2010)Analytics for an Online Retailer: Demand Forecasting and Price Optimization (2015)Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains (2020)Artificial intelligence applications in supply chain management (2021)Studies in Mathematical Theory of Inventory and Production (1959)The Distribution Free Newsboy Problem: Review and Extensions (1993)Lectures on Stochastic Programming (2009)Linear Programming under Uncertainty (1955)Machine Learning: Algorithms, Real-World Applications and Research Directions (2021)Contextual Stochastic Optimization for Omnichannel Multicourier Order Fulfillment Under Delivery Time Uncertainty (2025)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)Optimising hurricane shelter locations with smart predict-then-optimise framework (2024)Optimization under uncertainty: state-of-the-art and opportunities (2003)Unlocking efficiency: End-to-end optimization learning for recurrent facility operational planning (2024)A predict-and-optimize approach to profit-driven churn prevention (2025)The 15-minute city concept: An operations research perspective and a research agenda (2025)
this work references cited by second hop

References

  • 2021Smart “Predict, then Optimize”880 cited
  • 2019From Predictive to Prescriptive Analytics868 cited
  • 2018The Big Data Newsvendor: Practical Insights from Machine Learning531 cited
  • 2017Robust sample average approximation247 cited
  • 2019Data Analytics in Operations Management: A Review182 cited
  • 2024A survey of contextual optimization methods for decision-making under uncertainty165 cited
  • 2024Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities149 cited
  • 2015The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples99 cited
  • 2022Integrating Prediction/Estimation and Optimization with Applications in Operations Management28 cited

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