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ORCIDJean Pouget-Abadie
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2020 – today
- 2025
[c16]Jennifer Brennan
, Yahu Cong, Yiwei Yu, Lina Lin, Yajun Peng, Changping Meng, Ningren Han, Jean Pouget-Abadie, David M. Holtz:
Reducing Symbiosis Bias through Better A/B Tests of Recommendation Algorithms. WWW 2025: 3702-3715- [i7]Aishwarya Kamath, Johan Ferret, Shreya Pathak, Nino Vieillard, Ramona Merhej, Sarah Perrin, Tatiana Matejovicova, Alexandre Ramé, Morgane Rivière, Louis Rouillard, Thomas Mesnard, Geoffrey Cideron, Jean-Bastien Grill, Sabela Ramos, Edouard Yvinec, Michelle Casbon, Etienne Pot, Ivo Penchev, Gaël Liu, Francesco Visin, Kathleen Kenealy, Lucas Beyer, Xiaohai Zhai, Anton Tsitsulin, Róbert Busa-Fekete, Alex Feng, Noveen Sachdeva, Benjamin Coleman, Yi Gao, Basil Mustafa, Iain Barr, Emilio Parisotto, David Tian, Matan Eyal, Colin Cherry, Jan-Thorsten Peter, Danila Sinopalnikov, Surya Bhupatiraju, Rishabh Agarwal, Mehran Kazemi, Dan Malkin, Ravin Kumar, David Vilar, Idan Brusilovsky, Jiaming Luo, Andreas Steiner, Abe Friesen, Abhanshu Sharma, Abheesht Sharma, Adi Mayrav Gilady, Adrian Goedeckemeyer, Alaa Saade, Alexander Kolesnikov, Alexei Bendebury, Alvin Abdagic, Amit Vadi, András György, André Susano Pinto, Anil Das, Ankur Bapna, Antoine Miech, Antoine Yang, Antonia Paterson, Ashish Shenoy, Ayan Chakrabarti, Bilal Piot, Bo Wu, Bobak Shahriari, Bryce Petrini, Charlie Chen, Charline Le Lan, Christopher A. Choquette-Choo, CJ Carey, Cormac Brick, Daniel Deutsch, Danielle Eisenbud, Dee Cattle, Derek Cheng, Dimitris Paparas, Divyashree Shivakumar Sreepathihalli, Doug Reid, Dustin Tran, Dustin Zelle, Eric Noland, Erwin Huizenga, Eugene Kharitonov, Frederick Liu, Gagik Amirkhanyan, Glenn Cameron, Hadi Hashemi, Hanna Klimczak-Plucinska, Harman Singh, Harsh Mehta, Harshal Tushar Lehri, Hussein Hazimeh, Ian Ballantyne, Idan Szpektor, Ivan Nardini, Jean Pouget-Abadie, Jetha Chan, Joe Stanton, John Wieting, Jonathan Lai, Jordi Orbay, Joseph Fernandez, Josh Newlan, Ju-yeong Ji, Jyotinder Singh, Kat Black, Kathy Yu, Kevin Hui, Kiran Vodrahalli, Klaus Greff, Linhai Qiu, Marcella Valentine, Marina Coelho, Marvin Ritter, Matt Hoffman, Matthew Watson, Mayank Chaturvedi, Michael Moynihan, Min Ma, Nabila Babar, Natasha Noy, Nathan Byrd, Nick Roy, Nikola Momchev, Nilay Chauhan, Oskar Bunyan, Pankil Botarda, Paul Caron, Paul Kishan Rubenstein, Phil Culliton, Philipp Schmid, Pier Giuseppe Sessa, Pingmei Xu, Piotr Stanczyk, Pouya Tafti, Rakesh Shivanna, Renjie Wu, Renke Pan, Reza Rokni, Rob Willoughby, Rohith Vallu, Ryan Mullins, Sammy Jerome, Sara Smoot, Sertan Girgin, Shariq Iqbal, Shashir Reddy, Shruti Sheth, Siim Põder, Sijal Bhatnagar, Sindhu Raghuram Panyam, Sivan Eiger, Susan Zhang, Tianqi Liu, Trevor Yacovone, Tyler Liechty, Uday Kalra, Utku Evci, Vedant Misra, Vincent Roseberry, Vlad Feinberg, Vlad Kolesnikov, Woohyun Han, Woosuk Kwon, Xi Chen, Yinlam Chow, Yuvein Zhu, Zichuan Wei, Zoltan Egyed, Victor Cotruta, Minh Giang, Phoebe Kirk, Anand Rao, Jessica Lo, Erica Moreira, Luiz Gustavo Martins, Omar Sanseviero, Lucas Gonzalez, Zach Gleicher, Tris Warkentin, Vahab Mirrokni, Evan Senter, Eli Collins, Joelle K. Barral, Zoubin Ghahramani, Raia Hadsell, Yossi Matias, D. Sculley, Slav Petrov, Noah Fiedel, Noam Shazeer, Oriol Vinyals, Jeff Dean, Demis Hassabis, Koray Kavukcuoglu, Clément Farabet, Elena Buchatskaya, Jean-Baptiste Alayrac, Rohan Anil, Dmitry (Dima) Lepikhin, Sebastian Borgeaud, Olivier Bachem, Armand Joulin, Alek Andreev, Cassidy Hardin, Robert Dadashi, Léonard Hussenot:
Gemma 3 Technical Report. CoRR abs/2503.19786 (2025) - 2024
- [c15]Zahra Fatemi, Jean Pouget-Abadie, Elena Zheleva:
Cascade-Based Randomization for Inferring Causal Effects under Diffusion Interference. ICWSM 2024: 394-407 - [c14]Lina Lin, Changping Meng, Jennifer Brennan, Jean Pouget-Abadie, Ningren Han, Shuchao Bi, Yajun Peng:
Country-diverted experiments for mitigation of network effects. RecSys 2024: 765-767 - [i6]Zahra Fatemi, Jean Pouget-Abadie, Elena Zheleva:
Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference. CoRR abs/2405.12340 (2024) - 2023
- [c13]Ariel Boyarsky, Hongseok Namkoong, Jean Pouget-Abadie:
Modeling Interference Using Experiment Roll-out. EC 2023: 298 - [c12]Evan Munro, David Jones, Jennifer Brennan, Roland Nelet, Vahab Mirrokni, Jean Pouget-Abadie:
Causal Estimation of User Learning in Personalized Systems. EC 2023: 992-1016 - [i5]Evan Munro, David Jones, Jennifer Brennan, Roland Nelet, Vahab Mirrokni, Jean Pouget-Abadie:
Causal Estimation of User Learning in Personalized Systems. CoRR abs/2306.00485 (2023) - [i4]Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie:
Causal Inference with Differentially Private (Clustered) Outcomes. CoRR abs/2308.00957 (2023) - 2022
- [c11]Jennifer Brennan, Vahab Mirrokni, Jean Pouget-Abadie:
Cluster Randomized Designs for One-Sided Bipartite Experiments. NeurIPS 2022 - [c10]Christopher Harshaw, Fredrik Sävje, David Eisenstat, Vahab Mirrokni, Jean Pouget-Abadie:
Design and Analysis of Bipartite Experiments Under a Linear Exposure-response Model. EC 2022: 606 - 2021
- [c9]Nick Doudchenko, Khashayar Khosravi, Jean Pouget-Abadie, Sébastien Lahaie, Miles Lubin, Vahab S. Mirrokni, Jann Spiess, Guido Imbens:
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls. NeurIPS 2021: 8691-8701 - 2020
- [j1]Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua Bengio:
Generative adversarial networks. Commun. ACM 63(11): 139-144 (2020)
2010 – 2019
- 2019
- [c8]David Rolnick, Kevin Aydin, Jean Pouget-Abadie, Shahab Kamali, Vahab S. Mirrokni, Amir Najmi:
Randomized Experimental Design via Geographic Clustering. KDD 2019: 2745-2753 - [c7]Jean Pouget-Abadie, Kevin Aydin, Warren Schudy, Kay Brodersen, Vahab S. Mirrokni:
Variance Reduction in Bipartite Experiments through Correlation Clustering. NeurIPS 2019: 13288-13298 - 2018
- [c6]Jean Pouget-Abadie, Vahab S. Mirrokni, David C. Parkes, Edoardo M. Airoldi:
Optimizing Cluster-based Randomized Experiments under Monotonicity. KDD 2018: 2090-2099 - 2017
- [c5]Martin Saveski, Jean Pouget-Abadie, Guillaume Saint-Jacques, Weitao Duan, Souvik Ghosh, Ya Xu, Edoardo M. Airoldi:
Detecting Network Effects: Randomizing Over Randomized Experiments. KDD 2017: 1027-1035 - 2015
- [c4]Jean Pouget-Abadie, Thibaut Horel:
Inferring Graphs from Cascades: A Sparse Recovery Framework. ICML 2015: 977-986 - [c3]Jean Pouget-Abadie, Thibaut Horel:
Inferring Graphs from Cascades: A Sparse Recovery Framework. WWW (Companion Volume) 2015: 625-626 - [i3]Jean Pouget-Abadie, Thibaut Horel:
Inferring Graphs from Cascades: A Sparse Recovery Framework. CoRR abs/1505.05663 (2015) - 2014
- [c2]Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua Bengio:
Generative Adversarial Nets. NIPS 2014: 2672-2680 - [c1]Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merrienboer, Kyunghyun Cho, Yoshua Bengio:
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation. SSST@EMNLP 2014: 78-85 - [i2]Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua Bengio:
Generative Adversarial Networks. CoRR abs/1406.2661 (2014) - [i1]Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merrienboer, KyungHyun Cho, Yoshua Bengio:
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation. CoRR abs/1409.1257 (2014)
Coauthor Index
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