Elias B. Khalil

64 papers A* 17A 1B 2C 1Journal 32Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Large Neighborhood Search meets Iterative Neural Constraint Heuristics. CoRR Wei Xu, Wenhao Li, Scott Sanner, Elias B. Khalil
2025	A*	`conf`	Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks. AAAI Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang
2025	J	`jnl`	Reinforcement learning with combinatorial actions for coupled restless bandits. CoRR Lily Xu, Bryan Wilder, Elias B. Khalil, Milind Tambe
2025	J	`jnl`	Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction. CoRR Yudong W. Xu, Wenhao Li, Scott Sanner, Elias B. Khalil
2024	—	`conf`	CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs. CPAIOR (2) Bo Tang, Elias B. Khalil
2024	—	`conf`	LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams. CPAIOR (2) Rahul Patel, Elias B. Khalil
2024	J	`jnl`	Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks. CoRR Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang
2024	J	`jnl`	Learning to Optimize for Mixed-Integer Non-linear Programming. CoRR Bo Tang, Elias B. Khalil, Ján Drgona
2024	J	`jnl`	MORBDD: Multiobjective Restricted Binary Decision Diagrams by Learning to Sparsify. CoRR Rahul Patel, Elias B. Khalil, David Bergman
2024	A*	`conf`	Neur2BiLO: Neural Bilevel Optimization. NeurIPS Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias B. Khalil
2024	J	`jnl`	Neur2BiLO: Neural Bilevel Optimization. CoRR Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias B. Khalil
2024	J	`jnl`	PyEPO: a PyTorch-based end-to-end predict-then-optimize library for linear and integer programming. Math. Program. Comput. Bo Tang, Elias B. Khalil
2023	J	`jnl`	CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs. CoRR Bo Tang, Elias B. Khalil
2023	J	`jnl`	Combinatorial Optimization and Reasoning with Graph Neural Networks. J. Mach. Learn. Res. Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
2023	A	`conf`	Fast Matrix Multiplication Without Tears: A Constraint Programming Approach. CP Arnaud Deza, Chang Liu, Pashootan Vaezipoor, Elias B. Khalil
2023	J	`jnl`	Fast Matrix Multiplication Without Tears: A Constraint Programming Approach. CoRR Arnaud Deza, Chang Liu, Pashootan Vaezipoor, Elias B. Khalil
2023	A*	`conf`	Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus. AAAI Yudong Xu, Elias B. Khalil, Scott Sanner
2023	J	`jnl`	LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams. CoRR Rahul Patel, Elias B. Khalil
2023	J	`jnl`	LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations. CoRR Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias B. Khalil
2023	A*	`conf`	Machine Learning for Cutting Planes in Integer Programming: A Survey. IJCAI Arnaud Deza, Elias B. Khalil
2023	J	`jnl`	Machine Learning for Cutting Planes in Integer Programming: A Survey. CoRR Arnaud Deza, Elias B. Khalil
2023	—	`conf`	Multi-task Predict-then-Optimize. LION Bo Tang, Elias B. Khalil
2023	J	`jnl`	Neur2RO: Neural Two-Stage Robust Optimization. CoRR Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias B. Khalil
2023	—	`conf`	Pierce: A Testing Tool for Neural Network Verification Solvers. VSTTE Joseph Scott, Guanting Pan, Piyush Jha, Elias B. Khalil, Vijay Ganesh
2023	A*	`conf`	Recent Developments in Data-Driven Algorithms for Discrete Optimization. AAAI Elias B. Khalil
2023	—	`conf`	SMAC-tuned Deep Q-learning for Ramp Metering. SM Omar ElSamadisy, Yazeed Abdulhai, Haoyuan Xue, Ilia Smirnov, Elias B. Khalil, Baher Abdulhai
2023	B	`conf`	Scalable and Near-Optimal ε-Tube Clusterwise Regression. CPAIOR Aravinth Chembu, Scott Sanner, Elias B. Khalil
2023	A*	`conf`	Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto. AAAI Weimin Huang, Elias B. Khalil
2022	J	`jnl`	A Deep Reinforcement Learning Framework For Column Generation. CoRR Cheng Chi, Amine Mohamed Aboussalah, Elias B. Khalil, Juyoung Wang, Zoha Sherkat-Masoumi
2022	A*	`conf`	A Deep Reinforcement Learning Framework for Column Generation. NeurIPS Cheng Chi, Amine Mohamed Aboussalah, Elias B. Khalil, Juyoung Wang, Zoha Sherkat-Masoumi
2022	A*	`conf`	Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. AAAI Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina
2022	—	`conf`	Goose: A Meta-Solver for Deep Neural Network Verification. SMT Joseph Scott, Guanting Pan, Elias B. Khalil, Vijay Ganesh
2022	J	`jnl`	Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus. CoRR Yudong Xu, Elias B. Khalil, Scott Sanner
2022	J	`jnl`	Lookback for Learning to Branch. CoRR Prateek Gupta, Elias B. Khalil, Didier Chételat, Maxime Gasse, Yoshua Bengio, Andrea Lodi, M. Pawan Kumar
2022	A*	`conf`	MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. AAAI Elias B. Khalil, Christopher Morris, Andrea Lodi
2022	J	`jnl`	MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. CoRR Elias B. Khalil, Christopher Morris, Andrea Lodi
2022	J	`jnl`	Machine learning using preoperative patient factors can predict duration of surgery and length of stay for total knee arthroplasty. Int. J. Medical Informatics Aazad Abbas, Jacob Mosseri, Johnathan R. Lex, Jay Toor, Bheeshma Ravi, Elias B. Khalil, Cari M. Whyne
2022	A*	`conf`	Neur2SP: Neural Two-Stage Stochastic Programming. NeurIPS Rahul Patel, Justin Dumouchelle, Elias B. Khalil, Merve Bodur
2022	J	`jnl`	Neur2SP: Neural Two-Stage Stochastic Programming. CoRR Justin Dumouchelle, Rahul Patel, Elias B. Khalil, Merve Bodur
2022	C	`conf`	Note: Image-based Prediction of House Attributes with Deep Learning. COMPASS Weimin Huang, Alex Olson, Elias B. Khalil, Shoshanna Saxe
2022	J	`jnl`	PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming. CoRR Bo Tang, Elias B. Khalil
2022	J	`jnl`	The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR 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
2022	J	`jnl`	Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto. CoRR Weimin Huang, Elias B. Khalil
2021	A*	`conf`	Combinatorial Optimization and Reasoning with Graph Neural Networks. IJCAI Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
2021	J	`jnl`	Combinatorial optimization and reasoning with graph neural networks. CoRR Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic
2021	J	`jnl`	Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach. CoRR Mohammad Ali Alomrani, Reza Moravej, Elias B. Khalil
2021	J	`jnl`	Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. CoRR Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina
2021	A*	`conf`	Learning to Schedule Heuristics in Branch and Bound. NeurIPS Antonia Chmiela, Elias B. Khalil, Ambros M. Gleixner, Andrea Lodi, Sebastian Pokutta
2021	J	`jnl`	Learning to Schedule Heuristics in Branch-and-Bound. CoRR Antonia Chmiela, Elias B. Khalil, Ambros M. Gleixner, Andrea Lodi, Sebastian Pokutta
2021	—	`conf`	The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. NeurIPS (Competition and Demos) 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
2020	A*	`conf`	Hybrid Models for Learning to Branch. NeurIPS Prateek Gupta, Maxime Gasse, Elias B. Khalil, Pawan Kumar Mudigonda, Andrea Lodi, Yoshua Bengio
2020	J	`jnl`	Hybrid Models for Learning to Branch. CoRR Prateek Gupta, Maxime Gasse, Elias B. Khalil, M. Pawan Kumar, Andrea Lodi, Yoshua Bengio
2019	—	`conf`	Combinatorial Attacks on Binarized Neural Networks. ICLR (Poster) Elias B. Khalil, Amrita Gupta, Bistra Dilkina
2018	J	`jnl`	Combinatorial Attacks on Binarized Neural Networks. CoRR Elias B. Khalil, Amrita Gupta, Bistra Dilkina
2017	—	`conf`	CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data. SIGSPATIAL/GIS Ardavan Afshar, Joyce C. Ho, Bistra Dilkina, Ioakeim Perros, Elias B. Khalil, Li Xiong, Vaidy S. Sunderam
2017	A*	`conf`	Fake News Mitigation via Point Process Based Intervention. ICML Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha
2017	B	`conf`	Human Resource Optimization for Bug Fixing: Balancing Short-Term and Long-Term Objectives. SSBSE Elias B. Khalil, Mustafa Assaf, Abdel Salam Sayyad
2017	—	`conf`	Learning Combinatorial Optimization Algorithms over Graphs. NIPS Elias B. Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, Le Song
2017	J	`jnl`	Learning Combinatorial Optimization Algorithms over Graphs. CoRR Hanjun Dai, Elias B. Khalil, Yuyu Zhang, Bistra Dilkina, Le Song
2017	A*	`conf`	Learning Feature Engineering for Classification. IJCAI Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga
2017	A*	`conf`	Learning to Run Heuristics in Tree Search. IJCAI Elias B. Khalil, Bistra Dilkina, George L. Nemhauser, Shabbir Ahmed, Yufen Shao
2016	—	`conf`	Generating Graph Snapshots from Streaming Edge Data. WWW (Companion Volume) Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, Kevin A. Roundy
2016	A*	`conf`	Machine Learning for Integer Programming. IJCAI Elias B. Khalil
2014	J	`jnl`	Large-scale insider trading analysis: patterns and discoveries. Soc. Netw. Anal. Min. Acar Tamersoy, Elias B. Khalil, Bo Xie, Stephen L. Lenkey, Bryan R. Routledge, Duen Horng Chau, Shamkant B. Navathe