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An Online-Learning Approach to Inverse Optimization
v1v2 (latest)

An Online-Learning Approach to Inverse Optimization

30 October 2018
Andreas Bärmann
Alexander Martin
Sebastian Pokutta
Oskar Schneider
ArXiv (abs)PDFHTML

Papers citing "An Online-Learning Approach to Inverse Optimization"

12 / 12 papers shown
Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions
Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions
Akira Kitaoka
81
0
0
06 Oct 2025
Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel$-$Young Loss Perspective and Gap-Dependent Regret Analysis
Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel−-−Young Loss Perspective and Gap-Dependent Regret AnalysisInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Shinsaku Sakaue
Han Bao
Taira Tsuchiya
550
3
0
23 Jan 2025
Exact Solution to Data-Driven Inverse Optimization of MILPs in Finite Time via Gradient-Based Methods
Exact Solution to Data-Driven Inverse Optimization of MILPs in Finite Time via Gradient-Based Methods
Akira Kitaoka
293
1
0
23 May 2024
Estimating and Incentivizing Imperfect-Knowledge Agents with Hidden
  Rewards
Estimating and Incentivizing Imperfect-Knowledge Agents with Hidden Rewards
Ilgin Dogan
Zuo‐Jun Max Shen
A. Aswani
170
7
0
13 Aug 2023
A proof of convergence of inverse reinforcement learning for
  multi-objective optimization
A proof of convergence of inverse reinforcement learning for multi-objective optimization
Akira Kitaoka
Riki Eto
183
0
0
10 May 2023
Repeated Principal-Agent Games with Unobserved Agent Rewards and
  Perfect-Knowledge Agents
Repeated Principal-Agent Games with Unobserved Agent Rewards and Perfect-Knowledge Agents
Ilgin Dogan
Zuo‐Jun Max Shen
A. Aswani
207
9
0
14 Apr 2023
Maximum Optimality Margin: A Unified Approach for Contextual Linear
  Programming and Inverse Linear Programming
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear ProgrammingInternational Conference on Machine Learning (ICML), 2023
Chunlin Sun
Shang Liu
Xiaocheng Li
226
11
0
26 Jan 2023
Contextual Inverse Optimization: Offline and Online Learning
Contextual Inverse Optimization: Offline and Online LearningOperational Research (OR), 2021
Omar Besbes
Yuri R. Fonseca
Ilan Lobel
OffRL
237
22
0
26 Jun 2021
Using Inverse Optimization to Learn Cost Functions in Generalized Nash
  Games
Using Inverse Optimization to Learn Cost Functions in Generalized Nash GamesComputers & Operations Research (Comput. Oper. Res.), 2021
Stephanie Allen
John P. Dickerson
S. Gabriel
108
16
0
24 Feb 2021
Decomposition and Adaptive Sampling for Data-Driven Inverse Linear
  Optimization
Decomposition and Adaptive Sampling for Data-Driven Inverse Linear OptimizationINFORMS journal on computing (INFORMS J. Comput.), 2020
Rishabh Gupta
Qi Zhang
138
8
0
16 Sep 2020
Learning Linear Programs from Optimal Decisions
Learning Linear Programs from Optimal Decisions
Yingcong Tan
Daria Terekhov
Andrew Delong
198
34
0
16 Jun 2020
Deep Inverse Optimization
Deep Inverse Optimization
Yingcong Tan
Andrew Delong
Daria Terekhov
176
24
0
03 Dec 2018
1
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