Elias B. Khalil

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 52

Top Topics

Combinatorial Optimization

Integer Program

Bipartite Matching

Machine Learning

Top Venues

Publications

Bo Tang, Elias B. Khalil
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs. CPAIOR (2) (2024)
Rahul Patel, Elias B. Khalil, David Bergman
MORBDD: Multiobjective Restricted Binary Decision Diagrams by Learning to Sparsify. CoRR (2024)
Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias B. Khalil
Neur2BiLO: Neural Bilevel Optimization. CoRR (2024)
Rahul Patel, Elias B. Khalil
LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams. CPAIOR (2) (2024)
Arnaud Deza, Elias B. Khalil
Machine Learning for Cutting Planes in Integer Programming: A Survey. IJCAI (2023)
Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias B. Khalil
Neur2RO: Neural Two-Stage Robust Optimization. CoRR (2023)
Arnaud Deza, Chang Liu, Pashootan Vaezipoor, Elias B. Khalil
Fast Matrix Multiplication Without Tears: A Constraint Programming Approach. CoRR (2023)
Weimin Huang, Elias B. Khalil
Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto. AAAI (2023)
Elias B. Khalil
Recent Developments in Data-Driven Algorithms for Discrete Optimization. AAAI (2023)
Joseph Scott, Guanting Pan, Piyush Jha, Elias B. Khalil, Vijay Ganesh
Pierce: A Testing Tool for Neural Network Verification Solvers. VSTTE (2023)
Arnaud Deza, Elias B. Khalil
Machine Learning for Cutting Planes in Integer Programming: A Survey. CoRR (2023)
Bo Tang, Elias B. Khalil
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs. CoRR (2023)
Aravinth Chembu, Scott Sanner, Elias B. Khalil
Scalable and Near-Optimal ε-Tube Clusterwise Regression. CPAIOR (2023)
Omar ElSamadisy, Yazeed Abdulhai, Haoyuan Xue, Ilia Smirnov, Elias B. Khalil, Baher Abdulhai
SMAC-tuned Deep Q-learning for Ramp Metering. SM (2023)
Yudong Xu, Elias B. Khalil, Scott Sanner
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus. AAAI (2023)
Arnaud Deza, Chang Liu, Pashootan Vaezipoor, Elias B. Khalil
Fast Matrix Multiplication Without Tears: A Constraint Programming Approach. CP (2023)
Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias B. Khalil
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations. CoRR (2023)
Bo Tang, Elias B. Khalil
Multi-task Predict-then-Optimize. LION (2023)
Rahul Patel, Elias B. Khalil
LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams. CoRR (2023)
Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
Combinatorial Optimization and Reasoning with Graph Neural Networks. J. Mach. Learn. Res. 24 (2023)
Elias B. Khalil, Christopher Morris, Andrea Lodi
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. CoRR (2022)
Joseph Scott, Guanting Pan, Elias B. Khalil, Vijay Ganesh
Goose: A Meta-Solver for Deep Neural Network Verification. SMT (2022)
Cheng Chi, Amine Aboussalah, Elias B. Khalil, Juyoung Wang, Zoha Sherkat-Masoumi
A Deep Reinforcement Learning Framework for Column Generation. NeurIPS (2022)
Prateek Gupta, Elias B. Khalil, Didier Chételat, Maxime Gasse, Yoshua Bengio, Andrea Lodi, M. Pawan Kumar
Lookback for Learning to Branch. CoRR (2022)
Bo Tang, Elias B. Khalil
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming. CoRR (2022)
Elias B. Khalil, Christopher Morris, Andrea Lodi
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. AAAI (2022)
Weimin Huang, Elias B. Khalil
Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto. CoRR (2022)
Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. AAAI (2022)
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 Yangm, 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, Chen Binbin, He Minggui, Hao Hao, Zhang Zhiyu, An Zhiwu, Mao Kun
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR (2022)
Aazad Abbas, Jacob Mosseri, Johnathan R. Lex, Jay Toor, Bheeshma Ravi, Elias B. Khalil, Cari M. Whyne
Machine learning using preoperative patient factors can predict duration of surgery and length of stay for total knee arthroplasty. Int. J. Medical Informatics 158 (February) (2022)
Rahul Patel, Justin Dumouchelle, Elias B. Khalil, Merve Bodur
Neur2SP: Neural Two-Stage Stochastic Programming. NeurIPS (2022)
Yudong Xu, Elias B. Khalil, Scott Sanner
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus. CoRR (2022)
Justin Dumouchelle, Rahul Patel, Elias B. Khalil, Merve Bodur
Neur2SP: Neural Two-Stage Stochastic Programming. CoRR (2022)
Cheng Chi, Amine Mohamed Aboussalah, Elias B. Khalil, Juyoung Wang, Zoha Sherkat-Masoumi
A Deep Reinforcement Learning Framework For Column Generation. CoRR (2022)
Weimin Huang, Alex Olson, Elias B. Khalil, Shoshanna Saxe
Note: Image-based Prediction of House Attributes with Deep Learning. COMPASS (2022)
Mohammad Ali Alomrani, Reza Moravej, Elias B. Khalil
Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach. CoRR (2021)
Antonia Chmiela, Elias B. Khalil, Ambros M. Gleixner, Andrea Lodi, Sebastian Pokutta
Learning to Schedule Heuristics in Branch-and-Bound. CoRR (2021)
Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
Combinatorial Optimization and Reasoning with Graph Neural Networks. IJCAI (2021)
Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. CoRR (2021)
Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
Combinatorial optimization and reasoning with graph neural networks. CoRR (2021)
Prateek Gupta, Maxime Gasse, Elias B. Khalil, M. Pawan Kumar, Andrea Lodi, Yoshua Bengio
Hybrid Models for Learning to Branch. CoRR (2020)
Prateek Gupta, Maxime Gasse, Elias B. Khalil, Pawan Kumar Mudigonda, Andrea Lodi, Yoshua Bengio
Hybrid Models for Learning to Branch. NeurIPS (2020)
Elias B. Khalil, Amrita Gupta, Bistra Dilkina
Combinatorial Attacks on Binarized Neural Networks. ICLR (Poster) (2019)
Elias B. Khalil, Amrita Gupta, Bistra Dilkina
Combinatorial Attacks on Binarized Neural Networks. CoRR (2018)
Ardavan Afshar, Joyce C. Ho, Bistra Dilkina, Ioakeim Perros, Elias B. Khalil, Li Xiong, Vaidy S. Sunderam
CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data. SIGSPATIAL/GIS (2017)
Elias B. Khalil, Bistra Dilkina, George L. Nemhauser, Shabbir Ahmed, Yufen Shao
Learning to Run Heuristics in Tree Search. IJCAI (2017)
Hanjun Dai, Elias B. Khalil, Yuyu Zhang, Bistra Dilkina, Le Song
Learning Combinatorial Optimization Algorithms over Graphs. CoRR (2017)
Elias B. Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, Le Song
Learning Combinatorial Optimization Algorithms over Graphs. NIPS (2017)
Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga
Learning Feature Engineering for Classification. IJCAI (2017)
Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha
Fake News Mitigation via Point Process Based Intervention. ICML (2017)
Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, Kevin A. Roundy
Generating Graph Snapshots from Streaming Edge Data. WWW (Companion Volume) (2016)
Elias B. Khalil
Machine Learning for Integer Programming. IJCAI (2016)
Acar Tamersoy, Elias B. Khalil, Bo Xie, Stephen L. Lenkey, Bryan R. Routledge, Duen Horng Chau, Shamkant B. Navathe
Large-scale insider trading analysis: patterns and discoveries. Soc. Netw. Anal. Min. 4 (1) (2014)