Elias Boutros Khalil

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 6

Top Topics

Mixed Integer Programming

Bipartite Matching

Manually Annotated

Reinforcement Learning

Top Venues

Trans. Mach. Learn. Res.

Publications

Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias Boutros Khalil
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations. Trans. Mach. Learn. Res. 2024 (2024)
Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias Boutros Khalil
Neur2RO: Neural Two-Stage Robust Optimization. ICLR (2024)
Prateek Gupta, Elias Boutros Khalil, Didier Chételat, Maxime Gasse, Andrea Lodi, Yoshua Bengio, M. Pawan Kumar
Lookback for Learning to Branch. Trans. Mach. Learn. Res. 2022 (2022)
Mohammad Ali Alomrani, Reza Moravej, Elias Boutros Khalil
Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach. Trans. Mach. Learn. Res. 2022 (2022)
Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Boutros Khalil, Shuang Li, Le Song, Hongyuan Zha
Fake News Mitigation via Point Process Based Intervention. CoRR (2017)
Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra Dilkina
Learning to Branch in Mixed Integer Programming. AAAI (2016)
Elias Boutros Khalil, Bistra Dilkina, Le Song
Scalable diffusion-aware optimization of network topology. KDD (2014)