Ishai Menache — accepted AI-conference papers

2025

Towards Foundation Models for Mixed Integer Linear Programming

Sirui Li, Janardhan Kulkarni, Ishai Menache, Cathy Wu, Beibin Li

ICLR 2025poster

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and interpretability. Current deep learning approaches for MILP focus on specific problem classes and do not generalize to unseen classes. To address…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗

2023

Hindsight Learning for MDPs with Exogenous Inputs

Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo De Oliveira Barbalho, Jingling Li +3

ICML 2023poster

Many resource management problems require sequential decision-making under uncertainty, where the only uncertainty affecting the decision outcomes are exogenous variables outside the control of the decision-maker. We model these problems as Exo-MDPs (Markov Decision Processes with Exogenous Inputs)…

Cited by 26 Source ↗PDF ↗code ↗Scholar ↗