Learning Linear Programs from Optimal Decisions

16 June 2020

Papers citing "Learning Linear Programs from Optimal Decisions"

7 / 7 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 37 1 0 23 Jan 2025
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 55 0 25 Jul 2023
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming Chunlin Sun Shang Liu Xiaocheng Li 27 9 0 26 Jan 2023
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures Yatin Nandwani Rishabh Ranjan Mausam Parag Singla 33 7 0 17 Oct 2022
Gradient boosting for convex cone predict and optimize problems A. Butler R. Kwon 25 2 0 14 Apr 2022
Strategic Classification Made Practical Sagi Levanon Nir Rosenfeld 40 55 0 02 Mar 2021
An Integer Linear Programming Framework for Mining Constraints from Data Tao Meng Kai-Wei Chang 27 6 0 18 Jun 2020