A Survey of Contextual Optimization Methods for Decision Making under Uncertainty

17 June 2023

Papers citing "A Survey of Contextual Optimization Methods for Decision Making under Uncertainty"

35 / 35 papers shown

Title
Primal-dual algorithm for contextual stochastic combinatorial optimization Louis Bouvier Thibault Prunet Vincent Leclère Axel Parmentier 26 0 0 07 May 2025
Sufficient Decision Proxies for Decision-Focused Learning Noah Schutte Grigorii Veviurko Krzysztof Postek Neil Yorke-Smith 29 0 0 06 May 2025
Learn to Bid as a Price-Maker Wind Power Producer Shobhit Singhal Marta Fochesato Liviu Aolaritei Florian Dorfler 53 0 0 20 Mar 2025
Preference Elicitation for Multi-objective Combinatorial Optimization with Active Learning and Maximum Likelihood Estimation Marianne Defresne Jayanta Mandi Tias Guns 41 0 0 14 Mar 2025
Enhanced Route Planning with Calibrated Uncertainty Set Lingxuan Tang Rui Luo Zhixin Zhou Nicolo Colombo 37 1 0 13 Mar 2025
Contextual Scenario Generation for Two-Stage Stochastic Programming David Islip Roy H. Kwon Sanghyeon Bae Woo Chang Kim 54 0 0 07 Feb 2025
The Differentiable Feasibility Pump M. Cacciola Alexandre Forel A. Frangioni Andrea Lodi 29 0 0 05 Nov 2024
Forecasting Outside the Box: Application-Driven Optimal Pointwise Forecasts for Stochastic Optimization Tito Homem-de-Mello Juan Valencia Felipe Lagos Guido Lagos 21 1 0 05 Nov 2024
Evaluation of Prosumer Networks for Peak Load Management in Iran: A Distributed Contextual Stochastic Optimization Approach Amir Noori Babak Tavassoli Alireza Fereidunian 18 0 0 31 Aug 2024
Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problems Pierre-Cyril Aubin-Frankowski Yohann de Castro Axel Parmentier Alessandro Rudi OffRL 27 3 0 24 Jul 2024
Is Cross-Validation the Gold Standard to Evaluate Model Performance? Garud Iyengar Henry Lam Tianyu Wang 34 0 0 03 Jul 2024
Differentiable Distributionally Robust Optimization Layers Xutao Ma Chao Ning Wenli Du 37 3 0 24 Jun 2024
Generative Conditional Distributions by Neural (Entropic) Optimal Transport Bao Nguyen Binh Nguyen Hieu Trung Nguyen Viet Anh Nguyen OT 42 1 0 04 Jun 2024
CF-OPT: Counterfactual Explanations for Structured Prediction Germain Vivier--Ardisson Alexandre Forel Axel Parmentier Thibaut Vidal OffRL CML BDL 35 1 0 28 May 2024
Contextual Linear Optimization with Bandit Feedback Yichun Hu Nathan Kallus Xiaojie Mao Yanchen Wu 29 0 0 26 May 2024
A Functional Model Method for Nonconvex Nonsmooth Conditional Stochastic Optimization Andrzej Ruszczyñski Shangzhe Yang 22 0 0 17 May 2024
End-to-end Conditional Robust Optimization A. Chenreddy Erick Delage 25 9 0 07 Mar 2024
Contextual Stochastic Vehicle Routing with Time Windows Breno Serrano Alexandre M. Florio Stefan Minner Maximilian Schiffer Thibaut Vidal 11 0 0 10 Feb 2024
Towards a Systems Theory of Algorithms Florian Dorfler Zhiyu He Giuseppe Belgioioso S. Bolognani John Lygeros Michael Muehlebach AI4CE 25 10 0 25 Jan 2024
Learning Lagrangian Multipliers for the Travelling Salesman Problem Augustin Parjadis Quentin Cappart B. Dilkina Aaron Ferber Louis-Martin Rousseau 37 1 0 22 Dec 2023
Learning Deterministic Surrogates for Robust Convex QCQPs Egon Persak Miguel F. Anjos 26 2 0 19 Dec 2023
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs Bo Tang Elias Boutros Khalil 24 1 0 12 Dec 2023
TaskMet: Task-Driven Metric Learning for Model Learning Dishank Bansal Ricky T. Q. Chen Mustafa Mukadam Brandon Amos FedML 17 10 0 08 Dec 2023
Contextual Stochastic Bilevel Optimization Yifan Hu Jie Wang Yao Xie Andreas Krause Daniel Kuhn 32 11 0 27 Oct 2023
Conformal Contextual Robust Optimization Yash P. Patel Sahana Rayan Ambuj Tewari 27 15 0 16 Oct 2023
Robust Losses for Decision-Focused Learning Noah Schutte Krzysztof Postek Neil Yorke-Smith 28 4 0 06 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 24 54 0 25 Jul 2023
Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach Linwei Sang Yinliang Xu Huan Long Qinran Hu Hongbin Sun 16 29 0 30 Apr 2023
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective Adam N. Elmachtoub H. Lam Haofeng Zhang Yunfan Zhao 14 6 0 13 Apr 2023
Alternating Differentiation for Optimization Layers Haixiang Sun Ye Shi Jingya Wang H. Tuan H. Vincent Poor Dacheng Tao ODL 35 14 0 03 Oct 2022
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming Bo Tang Elias Boutros Khalil 11 30 0 28 Jun 2022
Optimization with Constraint Learning: A Framework and Survey Adejuyigbe O. Fajemisin Donato Maragno D. Hertog 50 46 0 05 Oct 2021
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting J. Garcia A. Street Tito Homem-de-Mello F. Muñoz 15 10 0 26 Feb 2021
Heteroscedasticity-aware residuals-based contextual stochastic optimization R. Kannan G. Bayraksan James R. Luedtke 21 11 0 08 Jan 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017