Elias B. Khalil

According to our database, Elias B. Khalil authored at least 47 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PyEPO: a PyTorch-based end-to-end predict-then-optimize library for linear and integer programming.

Bo Tang, Elias B. Khalil

Math. Program. Comput., September, 2024

LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations.

Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias Boutros Khalil

Trans. Mach. Learn. Res., 2024

Learning to Optimize for Mixed-Integer Non-linear Programming.

Bo Tang, Elias B. Khalil, Ján Drgona

CoRR, 2024

Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects.

Wenhao Li, Yudong Xu, Scott Sanner, Elias Boutros Khalil

CoRR, 2024

Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks.

Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang

CoRR, 2024

MORBDD: Multiobjective Restricted Binary Decision Diagrams by Learning to Sparsify.

Rahul Patel, Elias B. Khalil, David Bergman

CoRR, 2024

Neur2BiLO: Neural Bilevel Optimization.

Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias B. Khalil

CoRR, 2024

Neur2RO: Neural Two-Stage Robust Optimization.

Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias Boutros Khalil

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs.

Bo Tang, Elias B. Khalil

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams.

Rahul Patel, Elias B. Khalil

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

2023

Combinatorial Optimization and Reasoning with Graph Neural Networks.

Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic

J. Mach. Learn. Res., 2023

Pierce: A Testing Tool for Neural Network Verification Solvers.

Joseph Scott, Guanting Pan, Piyush Jha, Elias B. Khalil, Vijay Ganesh

Proceedings of the Verified Software. Theories, Tools and Experiments, 2023

SMAC-tuned Deep Q-learning for Ramp Metering.

Omar ElSamadisy, Yazeed Abdulhai, Haoyuan Xue, Ilia Smirnov, Elias B. Khalil, Baher Abdulhai

Proceedings of the IEEE International Conference on Smart Mobility, 2023

Multi-task Predict-then-Optimize.

Bo Tang, Elias B. Khalil

Proceedings of the Learning and Intelligent Optimization - 17th International Conference, 2023

Machine Learning for Cutting Planes in Integer Programming: A Survey.

Arnaud Deza, Elias B. Khalil

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Scalable and Near-Optimal ε-Tube Clusterwise Regression.

Aravinth Chembu, Scott Sanner, Elias B. Khalil

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

Fast Matrix Multiplication Without Tears: A Constraint Programming Approach.

Arnaud Deza, Chang Liu, Pashootan Vaezipoor, Elias B. Khalil

Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming, 2023

Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus.

Yudong Xu, Elias B. Khalil, Scott Sanner

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Recent Developments in Data-Driven Algorithms for Discrete Optimization.

Elias B. Khalil

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto.

Weimin Huang, Elias B. Khalil

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Lookback for Learning to Branch.

Prateek Gupta, Elias Boutros Khalil, Didier Chételat, Maxime Gasse, Andrea Lodi, Yoshua Bengio, M. Pawan Kumar

Trans. Mach. Learn. Res., 2022

Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach.

Mohammad Ali Alomrani, Reza Moravej, Elias Boutros Khalil

Trans. Mach. Learn. Res., 2022

Machine learning using preoperative patient factors can predict duration of surgery and length of stay for total knee arthroplasty.

Aazad Abbas, Jacob Mosseri, Johnathan R. Lex, Jay Toor, Bheeshma Ravi, Elias B. Khalil, Cari M. Whyne

Int. J. Medical Informatics, 2022

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.

Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

CoRR, 2022

Goose: A Meta-Solver for Deep Neural Network Verification.

Joseph Scott, Guanting Pan, Elias B. Khalil, Vijay Ganesh

Proceedings of the 20th Internal Workshop on Satisfiability Modulo Theories co-located with the 11th International Joint Conference on Automated Reasoning (IJCAR 2022) part of the 8th Federated Logic Conference (FLoC 2022), 2022

Neur2SP: Neural Two-Stage Stochastic Programming.

Rahul Patel, Justin Dumouchelle, Elias B. Khalil, Merve Bodur

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Deep Reinforcement Learning Framework for Column Generation.

Cheng Chi, Amine Mohamed Aboussalah, Elias B. Khalil, Juyoung Wang, Zoha Sherkat-Masoumi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Note: Image-based Prediction of House Attributes with Deep Learning.

Weimin Huang, Alex Olson, Elias B. Khalil, Shoshanna Saxe

Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework.

Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers.

Elias B. Khalil, Christopher Morris, Andrea Lodi

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights.

Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Learning to Schedule Heuristics in Branch and Bound.

Antonia Chmiela, Elias B. Khalil, Ambros M. Gleixner, Andrea Lodi, Sebastian Pokutta

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Towards Tighter Integration of Machine Learning and Discrete Optimization.

Elias Boutros Khalil

PhD thesis, 2020

Hybrid Models for Learning to Branch.

Prateek Gupta, Maxime Gasse, Elias B. Khalil, M. Pawan Kumar, Andrea Lodi, Yoshua Bengio

CoRR, 2020

Hybrid Models for Learning to Branch.

Prateek Gupta, Maxime Gasse, Elias B. Khalil, Pawan Kumar Mudigonda, Andrea Lodi, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Combinatorial Attacks on Binarized Neural Networks.

Elias B. Khalil, Amrita Gupta, Bistra Dilkina

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Human Resource Optimization for Bug Fixing: Balancing Short-Term and Long-Term Objectives.

Elias B. Khalil, Mustafa Assaf, Abdel Salam Sayyad

Proceedings of the Search Based Software Engineering - 9th International Symposium, 2017

Learning Combinatorial Optimization Algorithms over Graphs.

Elias B. Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, Le Song

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Feature Engineering for Classification.

Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning to Run Heuristics in Tree Search.

Elias B. Khalil, Bistra Dilkina, George L. Nemhauser, Shabbir Ahmed, Yufen Shao

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Fake News Mitigation via Point Process Based Intervention.

Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha

Proceedings of the 34th International Conference on Machine Learning, 2017

CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data.

Ardavan Afshar, Joyce C. Ho, Bistra Dilkina, Ioakeim Perros, Elias B. Khalil, Li Xiong, Vaidy S. Sunderam

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016

Generating Graph Snapshots from Streaming Edge Data.

Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, Kevin A. Roundy

Proceedings of the 25th International Conference on World Wide Web, 2016

Machine Learning for Integer Programming.

Elias B. Khalil

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning to Branch in Mixed Integer Programming.

Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra Dilkina

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014

Large-scale insider trading analysis: patterns and discoveries.

Acar Tamersoy, Elias B. Khalil, Bo Xie, Stephen L. Lenkey, Bryan R. Routledge, Duen Horng Chau, Shamkant B. Navathe

Soc. Netw. Anal. Min., 2014

Scalable diffusion-aware optimization of network topology.

Elias Boutros Khalil, Bistra Dilkina, Le Song

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014