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 GoodfellowDeepMindVerified email at deepmind.com
Mehdi MirzaDeepMindVerified email at google.com
Aaron CourvilleAssociate Professor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
David Warde-FarleySenior Research Scientist, DeepMindVerified email at google.com
Sherjil OzairDeepMindVerified email at deepmind.com
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 GhoshDirector of Engineering, AI at LinkedinVerified email at linkedin.com
Bart van MerriënboerGoogleVerified email at google.com
Kyunghyun ChoNew York University, GenentechVerified 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


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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	47871	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	71	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	62	2017
Inferring Graphs from Cascades: A Sparse Recovery Framework J Pouget-Abadie, T Horel ICML 37, 2015	42	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	25	2019
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, 2019	25	2019
Causal inference with bipartite designs N Doudchenko, M Zhang, E Drynkin, E Airoldi, V Mirrokni, ... arXiv preprint arXiv:2010.02108, 2020	15	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	14*	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	7*	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	5	2021
Dealing with Interference on Experimentation Platforms J Pouget-Abadie Harvard University, 2018	4	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, 8691-8701, 2021	3	2021
Optimizing Randomized and Deterministic Saturation Designs under Interference C Cai, J Pouget-Abadie, EM Airoldi arXiv preprint arXiv:2203.09682, 2022		2022

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