Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems

22 November 2019

Papers citing "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"

24 / 24 papers shown

Title
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Rares Cristian Pavithra Harsha Georgia Perakis Brian Quanz 19 0 0 16 May 2025
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management Shuyi Chen Ferdinando Fioretto Feng Qiu Shixiang Zhu 75 2 0 25 Feb 2025
Physics-Driven AI Correction in Laser Absorption Sensing Quantification Ruiyuan Kang P. Liatsis Meixia Geng Qingjie Yang 45 0 0 20 Aug 2024
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 55 1 0 08 Jul 2024
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs Bo Tang Elias Boutros Khalil 32 1 0 12 Dec 2023
Data-driven decision-focused surrogate modeling Rishabh Gupta Qi Zhang OffRL AI4CE 33 12 0 23 Aug 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 28 58 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 24 32 0 30 Apr 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 34 6 0 13 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 29 4 0 12 Mar 2023
Explainable Data-Driven Optimization: From Context to Decision and Back Again Alexandre Forel Axel Parmentier Thibaut Vidal 30 7 0 24 Jan 2023
The intersection of machine learning with forecasting and optimisation: theory and applications M. Abolghasemi 29 1 0 24 Nov 2022
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem Breno Serrano Stefan Minner Maximilian Schiffer Thibaut Vidal 31 8 0 12 Sep 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 21 12 0 02 Feb 2022
Efficient differentiable quadratic programming layers: an ADMM approach A. Butler R. Kwon 40 18 0 14 Dec 2021
Solve Optimization Problems with Unknown Constraint Networks M. Belaid A. Gotlieb Nadjib Lazaar 22 0 0 23 Nov 2021
Integrated Conditional Estimation-Optimization Sirui Chen Paul Grigas Zuo‐Jun Max Shen CML 35 25 0 24 Oct 2021
Predictive machine learning for prescriptive applications: a coupled training-validating approach E. Mortaz A. Vinel 18 3 0 22 Oct 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert Pasquale Minervini Luca Franceschi 32 81 0 03 Jun 2021
Neuro-Symbolic Constraint Programming for Structured Prediction Paolo Dragone Stefano Teso Andrea Passerini 35 18 0 31 Mar 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 24 10 0 26 Feb 2021
Contrastive Losses and Solution Caching for Predict-and-Optimize Maxime Mulamba Jayanta Mandi Michelangelo Diligenti M. Lombardi Víctor Bucarey Tias Guns 29 48 0 10 Nov 2020
Interior Point Solving for LP-based prediction+optimisation Jayanta Mandi Tias Guns 8 102 0 26 Oct 2020
Hybrid Classification and Reasoning for Image-based Constraint Solving Maxime Mulamba Jayanta Mandi Rocsildes Canoy Tias Guns 33 11 0 24 Mar 2020