Jean Pouget-Abadie

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 14

Top Topics

Experimental Designs

Disjoint Clusters

Semi Automatic Segmentation

Top Venues

Publications

Zahra Fatemi, Jean Pouget-Abadie, Elena Zheleva
Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference. CoRR (2024)
Zahra Fatemi, Jean Pouget-Abadie, Elena Zheleva
Cascade-Based Randomization for Inferring Causal Effects under Diffusion Interference. ICWSM (2024)
Evan Munro, David Jones, Jennifer Brennan, Roland Nelet, Vahab Mirrokni, Jean Pouget-Abadie
Causal Estimation of User Learning in Personalized Systems. CoRR (2023)
Ariel Boyarsky, Hongseok Namkoong, Jean Pouget-Abadie
Modeling Interference Using Experiment Roll-out. EC (2023)
Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie
Causal Inference with Differentially Private (Clustered) Outcomes. CoRR (2023)
Evan Munro, David Jones, Jennifer Brennan, Roland Nelet, Vahab Mirrokni, Jean Pouget-Abadie
Causal Estimation of User Learning in Personalized Systems. EC (2023)
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)
Jennifer Brennan, Vahab Mirrokni, Jean Pouget-Abadie
Cluster Randomized Designs for One-Sided Bipartite Experiments. NeurIPS (2022)
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)
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) (2020)
David Rolnick, Kevin Aydin, Jean Pouget-Abadie, Shahab Kamali, Vahab S. Mirrokni, Amir Najmi
Randomized Experimental Design via Geographic Clustering. KDD (2019)
Jean Pouget-Abadie, Kevin Aydin, Warren Schudy, Kay Brodersen, Vahab S. Mirrokni
Variance Reduction in Bipartite Experiments through Correlation Clustering. NeurIPS (2019)
Jean Pouget-Abadie, Vahab S. Mirrokni, David C. Parkes, Edoardo M. Airoldi
Optimizing Cluster-based Randomized Experiments under Monotonicity. KDD (2018)
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)
Jean Pouget-Abadie, Thibaut Horel
Inferring Graphs from Cascades: A Sparse Recovery Framework. WWW (Companion Volume) (2015)
Jean Pouget-Abadie, Thibaut Horel
Inferring Graphs from Cascades: A Sparse Recovery Framework. CoRR (2015)
Jean Pouget-Abadie, Thibaut Horel
Inferring Graphs from Cascades: A Sparse Recovery Framework. ICML (2015)
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)
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, Yoshua Bengio
Generative Adversarial Networks. CoRR (2014)
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)
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 (2014)