Pouget-Abadie, Jean

7 publications

ICML 2025 Improving the Variance of Differentially Private Randomized Experiments Through Clustering Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie

ICML 2025 Integer Programming for Generalized Causal Bootstrap Designs Jennifer Rogers Brennan, Sebastien Lahaie, Adel Javanmard, Nick Doudchenko, Jean Pouget-Abadie

NeurIPS 2022 Cluster Randomized Designs for One-Sided Bipartite Experiments Jennifer Brennan, Vahab Mirrokni, Jean Pouget-Abadie

NeurIPS 2021 Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls Nick Doudchenko, Khashayar Khosravi, Jean Pouget-Abadie, Sébastien Lahaie, Miles Lubin, Vahab Mirrokni, Jann Spiess, Guido Imbens

NeurIPS 2019 Variance Reduction in Bipartite Experiments Through Correlation Clustering Jean Pouget-Abadie, Kevin Aydin, Warren Schudy, Kay Brodersen, Vahab Mirrokni

ICML 2015 Inferring Graphs from Cascades: A Sparse Recovery Framework Jean Pouget-Abadie, Thibaut Horel

NeurIPS 2014 Generative Adversarial Nets Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio