Jean Pouget-Abadie

25 papers A* 13A 2Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Improving the Variance of Differentially Private Randomized Experiments through Clustering. ICML Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie
2025	A*	`conf`	Integer Programming for Generalized Causal Bootstrap Designs. ICML Jennifer Rogers Brennan, Sébastien Lahaie, Adel Javanmard, Nick Doudchenko, Jean Pouget-Abadie
2025	A*	`conf`	Reducing Symbiosis Bias through Better A/B Tests of Recommendation Algorithms. WWW Jennifer Brennan, Yahu Cong, Yiwei Yu, Lina Lin, Yajun Peng, Changping Meng, Ningren Han, Jean Pouget-Abadie, David M. Holtz
2024	A	`conf`	Cascade-Based Randomization for Inferring Causal Effects under Diffusion Interference. ICWSM Zahra Fatemi, Jean Pouget-Abadie, Elena Zheleva
2024	J	`jnl`	Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference. CoRR Zahra Fatemi, Jean Pouget-Abadie, Elena Zheleva
2024	A	`conf`	Country-diverted experiments for mitigation of network effects. RecSys Lina Lin, Changping Meng, Jennifer Brennan, Jean Pouget-Abadie, Ningren Han, Shuchao Bi, Yajun Peng
2023	A*	`conf`	Causal Estimation of User Learning in Personalized Systems. EC Evan Munro, David Jones, Jennifer Brennan, Roland Nelet, Vahab Mirrokni, Jean Pouget-Abadie
2023	J	`jnl`	Causal Estimation of User Learning in Personalized Systems. CoRR Evan Munro, David Jones, Jennifer Brennan, Roland Nelet, Vahab Mirrokni, Jean Pouget-Abadie
2023	J	`jnl`	Causal Inference with Differentially Private (Clustered) Outcomes. CoRR Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie
2023	A*	`conf`	Modeling Interference Using Experiment Roll-out. EC Ariel Boyarsky, Hongseok Namkoong, Jean Pouget-Abadie
2022	A*	`conf`	Cluster Randomized Designs for One-Sided Bipartite Experiments. NeurIPS Jennifer Brennan, Vahab Mirrokni, Jean Pouget-Abadie
2022	A*	`conf`	Design and Analysis of Bipartite Experiments Under a Linear Exposure-response Model. EC Christopher Harshaw, Fredrik Sävje, David Eisenstat, Vahab Mirrokni, Jean Pouget-Abadie
2021	A*	`conf`	Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls. NeurIPS Nick Doudchenko, Khashayar Khosravi, Jean Pouget-Abadie, Sébastien Lahaie, Miles Lubin, Vahab S. Mirrokni, Jann Spiess, Guido Imbens
2020	J	`jnl`	Generative adversarial networks. Commun. ACM Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua Bengio
2019	A*	`conf`	Randomized Experimental Design via Geographic Clustering. KDD David Rolnick, Kevin Aydin, Jean Pouget-Abadie, Shahab Kamali, Vahab S. Mirrokni, Amir Najmi
2019	A*	`conf`	Variance Reduction in Bipartite Experiments through Correlation Clustering. NeurIPS Jean Pouget-Abadie, Kevin Aydin, Warren Schudy, Kay Brodersen, Vahab S. Mirrokni
2018	A*	`conf`	Optimizing Cluster-based Randomized Experiments under Monotonicity. KDD Jean Pouget-Abadie, Vahab S. Mirrokni, David C. Parkes, Edoardo M. Airoldi
2017	A*	`conf`	Detecting Network Effects: Randomizing Over Randomized Experiments. KDD Martin Saveski, Jean Pouget-Abadie, Guillaume Saint-Jacques, Weitao Duan, Souvik Ghosh, Ya Xu, Edoardo M. Airoldi
2015	A*	`conf`	Inferring Graphs from Cascades: A Sparse Recovery Framework. ICML Jean Pouget-Abadie, Thibaut Horel
2015	—	`conf`	Inferring Graphs from Cascades: A Sparse Recovery Framework. WWW (Companion Volume) Jean Pouget-Abadie, Thibaut Horel
2015	J	`jnl`	Inferring Graphs from Cascades: A Sparse Recovery Framework. CoRR Jean Pouget-Abadie, Thibaut Horel
2014	—	`conf`	Generative Adversarial Nets. NIPS Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua Bengio
2014	J	`jnl`	Generative Adversarial Networks. CoRR Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua Bengio
2014	—	`conf`	Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation. SSST@EMNLP Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merrienboer, Kyunghyun Cho, Yoshua Bengio
2014	J	`jnl`	Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation. CoRR Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merrienboer, Kyunghyun Cho, Yoshua Bengio