Jean Pouget-Abadie

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Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Bing XuFacebookVerified 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 OzairDeepMindVerified email at deepmind.com
Vahab MirrokniDistinguished Scientist, Google Research, New YorkVerified email at google.com
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityVerified email at fas.harvard.edu
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 BahdanauServiceNow ResearchVerified email at servicenow.com
Thibaut HorelMITVerified email at mit.edu
Nick DoudchenkoSoftware Engineer, GoogleVerified email at google.com
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityVerified email at eecs.harvard.edu
Kay H. BrodersenGoogleVerified 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 nets I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Advances in neural information processing systems 27, 2014	40160	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	66	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	53	2017
Inferring Graphs from Cascades: A Sparse Recovery Framework J Pouget-Abadie, T Horel ICML 37, 2015	45	2015
Variance reduction in bipartite experiments through correlation clustering J Pouget-Abadie, K Aydin, W Schudy, K Brodersen, V Mirrokni	20	2019
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	18	2019
Causal inference with bipartite designs N Doudchenko, M Zhang, E Drynkin, EM Airoldi, V Mirrokni, ... Available at SSRN 3757188, 2020	13	2020
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
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	6*	2019
Design and analysis of bipartite experiments under a linear exposure-response model C Harshaw, F Sävje, D Eisenstat, V Mirrokni, J Pouget-Abadie arXiv preprint arXiv:2103.06392, 2021	3	2021
Dealing with Interference on Experimentation Platforms J Pouget-Abadie Harvard University, 2018	3	2018
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls N Doudchenko, K Khosravi, J Pouget-Abadie, S Lahaie, M Lubin, ... Advances in Neural Information Processing Systems 34, 2021		2021

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