Jean Pouget-Abadie

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Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Bing XuOctoMLVerified email at fb.com
Ian GoodfellowVerified email at cs.stanford.edu
Mehdi MirzaDeepMindVerified email at google.com
Aaron CourvilleUniversité de MontréalVerified email at umontreal.ca
David Warde-FarleySenior Research Scientist, DeepMindVerified email at google.com
Sherjil OzairPhD Student, U. MontrealVerified email at umontreal.ca
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityVerified email at fas.harvard.edu
Vahab MirrokniDistinguished Scientist, Google Research, New YorkVerified email at google.com
Martin SaveskiPostdoc, Stanford UniversityVerified email at stanford.edu
Guillaume Saint-JacquesMITVerified email at mit.edu
Weitao DuanVerified email at u.northwestern.edu
Souvik GhoshPrincipal Staff Engineer at Linkedin CorpVerified email at linkedin.com
Bart van MerriënboerGoogleVerified email at google.com
Kyunghyun ChoNew York UniversityVerified email at nyu.edu
Dzmitry BahdanauElement AIVerified email at iro.umontreal.ca
Thibaut HorelMITVerified email at mit.edu
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityVerified email at eecs.harvard.edu
David RolnickMcGill University, Mila Quebec AI InstituteVerified email at cs.mcgill.ca
Amir NajmiGoogle IncVerified email at google.com

Jean Pouget-Abadie

Google Research

Verified email at google.com - Homepage

Causal Inference Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Generative adversarial networks IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... arXiv preprint arXiv:1406.2661, 2014	30509	2014
Overcoming the curse of sentence length for neural machine translation using automatic segmentation J Pouget-Abadie, D Bahdanau, B Van Merrienboer, K Cho, Y Bengio arXiv preprint arXiv:1409.1257, 2014	60	2014
Detecting network effects: Randomizing over randomized experiments M Saveski, J Pouget-Abadie, G Saint-Jacques, W Duan, S Ghosh, Y Xu, ... Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017	49	2017
Inferring Graphs from Cascades: A Sparse Recovery Framework J Pouget-Abadie, T Horel ICML 37, 2015	38	2015
Testing for arbitrary interference on experimentation platforms J Pouget-Abadie, G Saint-Jacques, M Saveski, W Duan, S Ghosh, Y Xu, ... Biometrika 106 (4), 929-940, 2019	14	2019
Optimizing cluster-based randomized experiments under monotonicity J Pouget-Abadie, V Mirrokni, DC Parkes, EM Airoldi Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	11*	2018
Variance reduction in bipartite experiments through correlation clustering J Pouget-Abadie, K Aydin, W Schudy, K Brodersen, V Mirrokni Advances in Neural Information Processing Systems 32, 13309-13319, 2019	7	2019
Causal inference with bipartite designs N Doudchenko, M Zhang, E Drynkin, E Airoldi, V Mirrokni, ... arXiv preprint arXiv:2010.02108, 2020	6	2020
Randomized Experimental Design via Geographic Clustering D Rolnick, K Aydin, J Pouget-Abadie, S Kamali, V Mirrokni, A Najmi Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019	4*	2019
Dealing with Interference on Experimentation Platforms J Pouget-Abadie Harvard University, 2018	2	2018
Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model C Harshaw, D Eisenstat, V Mirrokni, J Pouget-Abadie arXiv preprint arXiv:2103.06392, 2021		2021

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