Jean Pouget-Abadie

According to our database, Jean Pouget-Abadie authored at least 14 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Causal Inference with Differentially Private (Clustered) Outcomes.

Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie

CoRR, 2023

Causal Estimation of User Learning in Personalized Systems.

Evan Munro, David Jones, Jennifer Brennan, Roland Nelet, Vahab Mirrokni, Jean Pouget-Abadie

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Modeling Interference Using Experiment Roll-out.

Ariel Boyarsky, Hongseok Namkoong, Jean Pouget-Abadie

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

2022

Design and Analysis of Bipartite Experiments Under a Linear Exposure-response Model.

Christopher Harshaw, Fredrik Sävje, David Eisenstat, Vahab Mirrokni, Jean Pouget-Abadie

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Cluster Randomized Designs for One-Sided Bipartite Experiments.

Jennifer Brennan, Vahab Mirrokni, Jean Pouget-Abadie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls.

Nick Doudchenko, Khashayar Khosravi, Jean Pouget-Abadie, Sébastien Lahaie, Miles Lubin, Vahab S. Mirrokni, Jann Spiess, Guido Imbens

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Generative adversarial networks.

Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua Bengio

Commun. ACM, 2020

2019

Variance Reduction in Bipartite Experiments through Correlation Clustering.

Jean Pouget-Abadie, Kevin Aydin, Warren Schudy, Kay Brodersen, Vahab S. Mirrokni

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Randomized Experimental Design via Geographic Clustering.

David Rolnick, Kevin Aydin, Jean Pouget-Abadie, Shahab Kamali, Vahab S. Mirrokni, Amir Najmi

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Optimizing Cluster-based Randomized Experiments under Monotonicity.

Jean Pouget-Abadie, Vahab S. Mirrokni, David C. Parkes, Edoardo M. Airoldi

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Detecting Network Effects: Randomizing Over Randomized Experiments.

Martin Saveski, Jean Pouget-Abadie, Guillaume Saint-Jacques, Weitao Duan, Souvik Ghosh, Ya Xu, Edoardo M. Airoldi

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2015

Inferring Graphs from Cascades: A Sparse Recovery Framework.

Jean Pouget-Abadie, Thibaut Horel

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

2014

Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation.

Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merrienboer, Kyunghyun Cho, Yoshua Bengio

Proceedings of SSST@EMNLP 2014, 2014

Generative Adversarial Nets.

Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014