Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities

25 July 2023

Papers citing "Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities"

38 / 38 papers shown

Title
Sufficient Decision Proxies for Decision-Focused Learning Noah Schutte Grigorii Veviurko Krzysztof Postek Neil Yorke-Smith 29 0 0 06 May 2025
OPO: Making Decision-Focused Data Acquisition Decisions Egon Persak Miguel F. Anjos 22 0 0 21 Apr 2025
Semi-Decision-Focused Learning with Deep Ensembles: A Practical Framework for Robust Portfolio Optimization Juhyeong Kim 63 0 0 16 Mar 2025
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation Marianne Defresne Jayanta Mandi Tias Guns 39 0 0 14 Mar 2025
Preference-Based Gradient Estimation for ML-Based Approximate Combinatorial Optimization Arman Mielke Uwe Bauknecht Thilo Strauss Mathias Niepert 64 0 0 26 Feb 2025
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management Shuyi Chen Ferdinando Fioretto Feng Qiu Shixiang Zhu 63 0 0 25 Feb 2025
Machine Learning Should Maximize Welfare, Not (Only) Accuracy Nir Rosenfeld Haifeng Xu HAI FaML 68 1 0 17 Feb 2025
Training-Free Constrained Generation With Stable Diffusion Models Stefano Zampini Jacob K Christopher Luca Oneto Davide Anguita Ferdinando Fioretto 38 0 0 08 Feb 2025
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making Prince Zizhuang Wang Jinhao Liang Shuyi Chen Ferdinando Fioretto Shixiang Zhu OffRL AI4CE 73 1 0 08 Feb 2025
Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization Yoontae Hwang Yaxuan Kong Stefan Zohren Yongjae Lee AIFin 45 2 0 02 Feb 2025
The Differentiable Feasibility Pump M. Cacciola Alexandre Forel A. Frangioni Andrea Lodi 24 0 0 05 Nov 2024
Offline Model-Based Optimization by Learning to Rank Rong-Xi Tan Ke Xue Shen-Huan Lyu Haopu Shang Yao Wang Yaoyuan Wang Sheng Fu Chao Qian OffRL 78 2 0 15 Oct 2024
Anatomy of Machines for Markowitz: Decision-Focused Learning for Mean-Variance Portfolio Optimization Junhyeong Lee Inwoo Tae Yongjae Lee 27 0 0 15 Sep 2024
Learning Joint Models of Prediction and Optimization James Kotary Vincenzo Di Vito Jacob Cristopher Pascal Van Hentenryck Ferdinando Fioretto 30 2 0 07 Sep 2024
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization Hao Zhou Rongxiao Huang Shaoming Li Guibin Jiang Jiaqi Zheng Bing Cheng Wei Lin 22 1 0 18 Jul 2024
Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective T. Kortus Ralf Keidel N.R. Gauger 48 0 0 18 Jul 2024
Differentiable Distributionally Robust Optimization Layers Xutao Ma Chao Ning Wenli Du 24 3 0 24 Jun 2024
Differentiation of Multi-objective Data-driven Decision Pipeline Peng Li Lixia Wu Chaoqun Feng Haoyuan Hu Lei Fu Jieping Ye 24 1 0 02 Jun 2024
CF-OPT: Counterfactual Explanations for Structured Prediction Germain Vivier--Ardisson Alexandre Forel Axel Parmentier Thibaut Vidal OffRL CML BDL 25 1 0 28 May 2024
Contextual Linear Optimization with Bandit Feedback Yichun Hu Nathan Kallus Xiaojie Mao Yanchen Wu 19 0 0 26 May 2024
Decision-Focused Forecasting: Decision Losses for Multistage Optimisation Egon Persak Miguel F. Anjos 28 0 0 23 May 2024
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty M. H. Dinh James Kotary Ferdinando Fioretto 15 0 0 12 Feb 2024
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages M. H. Dinh James Kotary Ferdinando Fioretto 10 0 0 07 Feb 2024
Towards a Systems Theory of Algorithms Florian Dorfler Zhiyu He Giuseppe Belgioioso S. Bolognani John Lygeros Michael Muehlebach AI4CE 17 10 0 25 Jan 2024
Decision-focused predictions via pessimistic bilevel optimization: a computational study Víctor Bucarey Sophia Calderón Gonzalo Munoz Frédéric Semet 11 0 0 29 Dec 2023
Learning Lagrangian Multipliers for the Travelling Salesman Problem Augustin Parjadis Quentin Cappart B. Dilkina Aaron Ferber Louis-Martin Rousseau 24 1 0 22 Dec 2023
Constraint-Informed Learning for Warm Starting Trajectory Optimization Julia Briden Changrak Choi Kyongsik Yun Richard Linares Abhishek Cauligi 20 3 0 21 Dec 2023
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs Bo Tang Elias Boutros Khalil 11 1 0 12 Dec 2023
Learning From Scenarios for Stochastic Repairable Scheduling Kim van den Houten David Tax Esteban Freydell Mathijs de Weerdt OffRL 19 0 0 06 Dec 2023
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization James Kotary Vincenzo Di Vito Jacob K Christopher Pascal Van Hentenryck Ferdinando Fioretto 32 3 0 22 Nov 2023
A predict-and-optimize approach to profit-driven churn prevention Nuria Gómez-Vargas Sebastián Maldonado Carla Vairetti 16 1 0 10 Oct 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 32 4 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 32 80 0 17 Jun 2023
Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach Linwei Sang Yinliang Xu Huan Long Qinran Hu Hongbin Sun 16 28 0 30 Apr 2023
Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee 11 4 0 12 Mar 2023
Learning to Solve Integer Linear Programs with Davis-Yin Splitting Daniel McKenzie Samy Wu Fung Howard Heaton 22 2 0 31 Jan 2023
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems Aaron Ferber Taoan Huang Daochen Zha M. Schubert Benoit Steiner B. Dilkina Yuandong Tian 31 20 0 22 Oct 2022
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee 8 14 0 08 Sep 2022