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Decision Trees for Decision-Making under the Predict-then-Optimize Framework

29 February 2020

Adam N. Elmachtoub

Jason Cheuk Nam Liang

Ryan McNellis

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Papers citing "Decision Trees for Decision-Making under the Predict-then-Optimize Framework"

47 / 47 papers shown

Title
Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting Fuyuan Lyu Linfeng Du Yunpeng Weng Qiufang Ying Zhiyan Xu Wen Zou Haolun Wu Xiuqiang He Xing Tang AI4TS 52 0 0 30 May 2025
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints H. Im Wyame Benslimane Paul Grigas 37 0 0 28 May 2025
Conformalized Decision Risk Assessment Wenbin Zhou Agni Orfanoudaki Shixiang Zhu OffRL 74 0 0 19 May 2025
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Rares Cristian Pavithra Harsha Georgia Perakis Brian Quanz 78 0 0 16 May 2025
PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning Vahid Eghbal Akhlaghi Reza Zandehshahvar Pascal Van Hentenryck 66 1 0 10 Apr 2025
The Hidden Cost of Waiting for Accurate Predictions Ali Shirali Ariel Procaccia Rediet Abebe 66 0 0 01 Mar 2025
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning Kai Jungel Dario Paccagnan Axel Parmentier Maximilian Schiffer 51 1 0 09 Oct 2024
Decision-Focused Evaluation of Worst-Case Distribution Shift Kevin Ren Yewon Byun Bryan Wilder OffRL 67 2 0 04 Jul 2024
Allocation Requires Prediction Only if Inequality Is Low Ali Shirali Rediet Abebe Moritz Hardt 80 7 0 19 Jun 2024
CF-OPT: Counterfactual Explanations for Structured Prediction Germain Vivier-Ardisson Alexandre Forel Axel Parmentier Thibaut Vidal OffRL CML BDL 84 1 0 28 May 2024
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs Bo Tang Elias Boutros Khalil 61 2 0 12 Dec 2023
Two-Stage Predict+Optimize for Mixed Integer Linear Programs with Unknown Parameters in Constraints Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee 84 2 0 14 Nov 2023
Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems Haoyu Geng Hang Ruan Runzhong Wang Yang Li Yang Wang Lei Chen Junchi Yan 70 0 0 13 Nov 2023
Learning Optimal Classification Trees Robust to Distribution Shifts Nathan Justin S. Aghaei Andrés Gómez P. Vayanos OOD 200 0 0 26 Oct 2023
Conformal Contextual Robust Optimization Yash Patel Sahana Rayan Ambuj Tewari 215 18 0 16 Oct 2023
A predict-and-optimize approach to profit-driven churn prevention Nuria Gómez-Vargas Sebastián Maldonado Carla Vairetti 45 2 0 10 Oct 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities Jayanta Mandi James Kotary Senne Berden Maxime Mulamba Víctor Bucarey Tias Guns Ferdinando Fioretto AI4CE 133 72 0 25 Jul 2023
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning Mattia Silvestri Senne Berden Jayanta Mandi Ali .Irfan Mahmutougullari Maxime Mulamba Tias Guns M. Lombardi 82 5 0 11 Jul 2023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty Utsav Sadana A. Chenreddy Erick Delage Alexandre Forel Emma Frejinger Thibaut Vidal AI4CE 114 88 0 17 Jun 2023
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective Adam N. Elmachtoub Henry Lam Haofeng Zhang Yunfan Zhao 165 6 0 13 Apr 2023
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming Chunlin Sun Shang Liu Xiaocheng Li 96 10 0 26 Jan 2023
Explainable Data-Driven Optimization: From Context to Decision and Back Again Alexandre Forel Axel Parmentier Thibaut Vidal 80 9 0 24 Jan 2023
The intersection of machine learning with forecasting and optimisation: theory and applications M. Abolghasemi 58 2 0 24 Nov 2022
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee 98 17 0 08 Sep 2022
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming Bo Tang Elias Boutros Khalil 87 33 0 28 Jun 2022
Distributionally Robust End-to-End Portfolio Construction Giorgio Costa G. Iyengar OOD 44 14 0 10 Jun 2022
Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee Allen Z. Zhong 31 7 0 01 May 2022
Gradient boosting for convex cone predict and optimize problems A. Butler R. Kwon 54 2 0 14 Apr 2022
SimPO: Simultaneous Prediction and Optimization Bing Zhang Yuya Jeremy Ong Taiga Nakamura 62 2 0 31 Mar 2022
An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems Jinlei Zhang Ergang Shan Lixia Wu Lixing Yang Ziyou Gao Haoyuan Hu 50 4 0 18 Feb 2022
Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data Max Biggs OffRL 57 1 0 16 Feb 2022
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health Kai Wang Shresth Verma Aditya Mate Sanket Shah Aparna Taneja N. Madhiwalla Aparna Hegde Milind Tambe 65 13 0 02 Feb 2022
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy Nathanael Jo S. Aghaei A. Gómez P. Vayanos FaML 92 13 0 24 Jan 2022
Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities Eyke Hüllermeier 56 5 0 15 Dec 2021
Efficient differentiable quadratic programming layers: an ADMM approach A. Butler R. Kwon 78 20 0 14 Dec 2021
Integrated Conditional Estimation-Optimization Sirui Chen Paul Grigas Zuo‐Jun Max Shen CML 77 25 0 24 Oct 2021
Predictive machine learning for prescriptive applications: a coupled training-validating approach E. Mortaz A. Vinel 36 3 0 22 Oct 2021
Learning Optimal Prescriptive Trees from Observational Data Nathanael Jo S. Aghaei Andrés Gómez P. Vayanos 65 21 0 31 Aug 2021
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters Carlos Fernández-Loría F. Provost CML 67 45 0 08 Apr 2021
Contrastive Losses and Solution Caching for Predict-and-Optimize Maxime Mulamba Jayanta Mandi Michelangelo Diligenti M. Lombardi Víctor Bucarey Tias Guns 116 51 0 10 Nov 2020
Fast Rates for Contextual Linear Optimization Yichun Hu Nathan Kallus Xiaojie Mao OffRL 105 43 0 05 Nov 2020
Optimal Decision Trees for Nonlinear Metrics Emir Demirović Peter Stuckey 134 21 0 15 Sep 2020
Stochastic Optimization Forests Nathan Kallus Xiaojie Mao 200 50 0 17 Aug 2020
MurTree: Optimal Classification Trees via Dynamic Programming and Search Emir Demirović Anna Lukina E. Hébrard Jeffrey Chan James Bailey C. Leckie K. Ramamohanarao Peter Stuckey 135 64 0 24 Jul 2020
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing Max Biggs Wei-Ju Sun M. Ettl 75 35 0 03 Jul 2020
A Comparison of Methods for Treatment Assignment with an Application to Playlist Generation Carlos Fernández-Loría F. Provost J. Anderton Benjamin Carterette Praveen Chandar CML 74 19 0 24 Apr 2020
Generalization Bounds in the Predict-then-Optimize Framework Othman El Balghiti Adam N. Elmachtoub Paul Grigas Ambuj Tewari 81 69 0 27 May 2019