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 Programming

26 January 2023

Xiaocheng Li

Papers citing "Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming"

5 / 5 papers shown

Title
Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel $-$ Young Loss Perspective and Gap-Dependent Regret Analysis Shinsaku Sakaue Han Bao Taira Tsuchiya 35 1 0 23 Jan 2025
A fast algorithm to minimize prediction loss of the optimal solution in inverse optimization problem of MILP Akira Kitaoka 19 0 0 23 May 2024
From Inverse Optimization to Feasibility to ERM Saurabh Mishra Anant Raj Sharan Vaswani 17 2 0 27 Feb 2024
Online Algorithms with Uncertainty-Quantified Predictions Bo Sun Jerry Huang Nicolas H. Christianson Mohammad Hajiesmaili Adam Wierman Raouf Boutaba 20 4 0 17 Oct 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 43 83 0 17 Jun 2023