I am currently a postdoctoral researcher at MIT's LIDS working under the supervision of Munther Dahleh.
I am broadly interested in optimization, game theory, statistics, machine learning and theoretical CS.
Optimal Bounds between f-Divergences and Integral Probability Metrics [arXiv] Rohit Agrawal and Thibaut Horel
In the Journal of Machine Learning Research, 2021.
An extended abstract previously appeared in ICML 2020.
Modeling Contagion Through Social Networks to Explain and Predict Gunshot Violence in Chicago, 2006 to 2014
[pdf][supp][doi] Ben Green, Thibaut Horel, and Andrew Papachristos
In JAMA Internal Medicine, January 3 2017.
Maximization of Approximately Submodular Functions [pdf]
Thibaut Horel and Yaron Singer
In Advances in Neural Information Processing Systems 29 (NeurIPS 2016).
Inferring Graphs from Cascades: A Sparse Recovery Framework [pdf][arXiv] Jean Pouget-Abadie and Thibaut Horel
In Proc. of the 32nd International Conference on Machine Learning (ICML 2015).
Scalable Methods for Adaptively Seeding a Social Network [pdf][arXiv]
Thibaut Horel and Yaron Singer.
In Proc. of the 24th International World Wide Web Conference (WWW 2015).