Smart "Predict, then Optimize"

22 October 2017

Papers citing "Smart "Predict, then Optimize""

50 / 76 papers shown

Title
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Rares Cristian Pavithra Harsha Georgia Perakis Brian Quanz 14 0 0 16 May 2025
Sufficient Decision Proxies for Decision-Focused Learning Noah Schutte Grigorii Veviurko Krzysztof Postek Neil Yorke-Smith 34 0 0 06 May 2025
A Domain-Agnostic Scalable AI Safety Ensuring Framework Beomjun Kim Kangyeon Kim Sunwoo Kim Heejin Ahn 57 0 0 29 Apr 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
DECAF: Learning to be Fair in Multi-agent Resource Allocation Ashwin Kumar William Yeoh 87 1 0 06 Feb 2025
Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization Yoontae Hwang Yaxuan Kong Stefan Zohren Yongjae Lee AIFin 55 2 0 02 Feb 2025
Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices Ruicheng Ao Jiashuo Jiang D. Simchi-Levi 60 1 0 24 Jan 2025
Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel $-$ Young Loss Perspective and Gap-Dependent Regret Analysis Shinsaku Sakaue Han Bao Taira Tsuchiya 45 1 0 23 Jan 2025
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 55 1 0 08 Jul 2024
Robust personnel rostering: how accurate should absenteeism predictions be? Martina Doneda Pieter Smet G. Carello Ettore Lanzarone G. V. Berghe OOD 22 0 0 26 Jun 2024
First-Order Methods for Linearly Constrained Bilevel Optimization Guy Kornowski Swati Padmanabhan Kai Wang Zhe Zhang S. Sra 78 5 0 18 Jun 2024
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks Alan A. Lahoud Erik Schaffernicht J. A. Stork UQCV 30 0 0 05 Jun 2024
Model Ensembling for Constrained Optimization Ira Globus-Harris Varun Gupta Michael Kearns Aaron Roth 38 0 0 27 May 2024
Contextual Linear Optimization with Bandit Feedback Yichun Hu Nathan Kallus Xiaojie Mao Yanchen Wu 35 0 0 26 May 2024
Channel Access Methods for RF-Powered IoT Networks: A Survey Hang Yu Lei Zhang Yiwei Li Kwan-Wu Chin Changlin Yang 21 2 0 23 Apr 2024
Adaptive Optimization for Prediction with Missing Data Dimitris Bertsimas A. Delarue J. Pauphilet 37 1 0 02 Feb 2024
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 39 3 0 22 Nov 2023
Conformal Contextual Robust Optimization Yash P. Patel Sahana Rayan Ambuj Tewari 40 17 0 16 Oct 2023
Data-driven decision-focused surrogate modeling Rishabh Gupta Qi Zhang OffRL AI4CE 33 12 0 23 Aug 2023
You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization Grigorii Veviurko Wendelin Bohmer Mathijs de Weerdt 38 2 0 30 Jul 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 57 0 25 Jul 2023
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees Pengfei Li Jianyi Yang Shaolei Ren OffRL 27 4 0 31 May 2023
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize Sanket Shah Andrew Perrault Bryan Wilder Milind Tambe 25 9 0 26 May 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
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
Fairguard: Harness Logic-based Fairness Rules in Smart Cities Yiqi Zhao Ziyan An Xuqing Gao Ayan Mukhopadhyay Meiyi Ma AI4TS 21 1 0 22 Feb 2023
Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control Kai Jungel Axel Parmentier Maximilian Schiffer Thibaut Vidal 26 11 0 08 Feb 2023
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming Chunlin Sun Shang Liu Xiaocheng Li 29 9 0 26 Jan 2023
Explainable Data-Driven Optimization: From Context to Decision and Back Again Alexandre Forel Axel Parmentier Thibaut Vidal 30 7 0 24 Jan 2023
End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong Jiaming Cui Yuchen Zhuang Rui Feng B. Prakash Chao Zhang 24 16 0 25 Nov 2022
The intersection of machine learning with forecasting and optimisation: theory and applications M. Abolghasemi 29 1 0 24 Nov 2022
Decision-Aware Learning for Optimizing Health Supply Chains Tsai-Hsuan Chung Vahideh Rostami Hamsa Bastani Osbert Bastani 24 14 0 15 Nov 2022
Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles Yuxuan Han Jialin Zeng Yang Wang Yangzhen Xiang Jiheng Zhang 59 9 0 21 Oct 2022
Newsvendor Conditional Value-at-Risk Minimisation: a Feature-based Approach under Adaptive Data Selection Congzheng Liu Wenqi Zhu 16 4 0 22 Sep 2022
Bilevel Optimization for Feature Selection in the Data-Driven Newsvendor Problem Breno Serrano Stefan Minner Maximilian Schiffer Thibaut Vidal 26 8 0 12 Sep 2022
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee 35 14 0 08 Sep 2022
Learning from a Biased Sample Roshni Sahoo Lihua Lei Stefan Wager 27 17 0 05 Sep 2022
Hindsight Learning for MDPs with Exogenous Inputs Sean R. Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo Barbalho Jingling Li Jennifer Neville Ishai Menache Adith Swaminathan 18 22 0 13 Jul 2022
On data-driven chance constraint learning for mixed-integer optimization problems Antonio Alcántara Carlos Ruiz 16 7 0 08 Jul 2022
Online Contextual Decision-Making with a Smart Predict-then-Optimize Method Heyuan Liu Paul Grigas 16 8 0 15 Jun 2022
Distributionally Robust End-to-End Portfolio Construction Giorgio Costa G. Iyengar OOD 17 13 0 10 Jun 2022
Fast Continuous and Integer L-shaped Heuristics Through Supervised Learning Eric Larsen Emma Frejinger B. Gendron Andrea Lodi 22 19 0 02 May 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 11 7 0 01 May 2022
Expert-Calibrated Learning for Online Optimization with Switching Costs Pengfei Li Jianyi Yang Shaolei Ren 29 11 0 18 Apr 2022
Gradient boosting for convex cone predict and optimize problems A. Butler R. Kwon 28 2 0 14 Apr 2022
SimPO: Simultaneous Prediction and Optimization Bing Zhang Yuya Jeremy Ong Taiga Nakamura 19 2 0 31 Mar 2022
Randomized Policy Optimization for Optimal Stopping Xinyi Guan V. Mišić 19 2 0 25 Mar 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 14 0 0 23 Nov 2021