Search Results for author: Elias Khalil

Found 4 papers, 1 papers with code

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

2 code implementations • 4 Mar 2022 • Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros Gleixner, Aleksandr M. Kazachkov, Elias 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, Shengcheng 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

Combinatorial optimization is a well-established area in operations research and computer science.

BIG-bench Machine Learning Combinatorial Optimization

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Combinatorial optimization and reasoning with graph neural networks

no code implementations • 18 Feb 2021 • Quentin Cappart, Didier Chételat, Elias Khalil, Andrea Lodi, Christopher Morris, Petar Veličković

Combinatorial optimization is a well-established area in operations research and computer science.

BIG-bench Machine Learning Combinatorial Optimization +1

Paper
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Fake News Mitigation via Point Process Based Intervention

no code implementations • ICML 2017 • Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Khalil, Shuang Li, Le Song, Hongyuan Zha

We propose the first multistage intervention framework that tackles fake news in social networks by combining reinforcement learning with a point process network activity model.

reinforcement-learning Reinforcement Learning (RL)

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Automating Feature Engineering

no code implementations • NIPS 2016 2016 • Udayan Khurana, Fatemeh Nargesian, Horst Samulowitz, Elias Khalil, Deepak Turaga

Feature Engineering is the task of transforming the feature space in a given learning problem to improve the performance of a trained model.

Automated Feature Engineering Feature Engineering

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