Jean Pouget-Abadie - Google Scholar Citations

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Yoshua BengioProfessor, University of Montreal (Computer Sc. & Op. Res.), Mila, CIFAR, CRM, IVADO, REPARTI, GRSNCVerified email at mila.quebec
Bing XuSenior Applied Research Scientist, FacebookVerified 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 MirrokniPrincipal Research Scientist, Google Research, New YorkVerified email at google.com
Martin SaveskiMIT Media LabVerified email at mit.edu
Guillaume Saint-JacquesMITVerified email at mit.edu
Bart van MerriënboerGoogleVerified email at google.com
Kyunghyun ChoNew York University, Facebook AI ResearchVerified email at nyu.edu
Dzmitry BahdanauUniversité de MontréalVerified email at iro.umontreal.ca
Weitao DuanVerified email at u.northwestern.edu
Thibaut HorelHarvard UniversityVerified email at seas.harvard.edu
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityVerified email at eecs.harvard.edu
David RolnickNSF Postdoctoral Fellow, University of PennsylvaniaVerified email at seas.upenn.edu
Amir-Homayoon NajmiJohns Hopkins UniversityVerified email at jhuapl.edu
Kay H. BrodersenGoogle, Inc.Verified email at google.com

Jean Pouget-Abadie

Harvard University

Verified email at google.com - Homepage

Causal Inference Machine Learning


Title	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, 2672-2680, 2014	12152	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	30	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	23	2017
Inferring Graphs from Cascades: A Sparse Recovery Framework J Pouget-Abadie, T Horel ICML 37, 2015	17	2015
Testing for arbitrary interference on experimentation platforms J Pouget-Abadie, M Saveski, G Saint-Jacques, W Duan, Y Xu, S Ghosh, ... arXiv preprint arXiv:1704.01190, 2017	10	2017
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	5*	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	3*	2019
Variance Reduction in Bipartite Experiments through Correlation Clustering J Pouget-Abadie, K Aydin, W Schudy, K Brodersen, V Mirrokni		2019
Dealing with Interference on Experimentation Platforms J Pouget-Abadie		2018

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