My name is Jean Pouget-Abadie, but non-French speakers can call me John. I am a third-year PhD candidate in Computer Science at Harvard University where I am advised by Edoardo Airoldi and Salil Vadhan. Before Harvard, I was an undergraduate at Ecole Polytechnique, Paris. My recent research interests focus on causal inference and experimental design, particularly when network interference is present. You can find my CV (and a way to contact me) here.
Spotify summer 2017 internship
Research internship with the music recommendation team
Facebook summer 2015 internship
Research internship with Udi Weinsberg on the Core Data Science Team
Harvard University
PhD program in Computer Science (Expected: 2018)
MILA, Université de Montréal
Research internship with Yoshua Bengio in Deep Learning
École Polytechnique
Diplôme d'ingénieur
Testing for arbitrary interference on experimentation platforms
Jean Pouget-Abadie, Martin Saveski, Guillaume Saint-Jacques, Weitao Duan, Ya Xu, Souvik Ghosh, and Edoardo M. Airoldi. In submission to Biometrika. [arXiv]
Detecting Network Effects: Randomizing over Randomized Experiments
Martin Saveski, Jean Pouget-Abadie, Guillaume Saint-Jacques, Weitao Duan, Ya Xu, Souvik Ghosh, and Edoardo M. Airoldi. KDD 2017. [link coming soon]
Inferring Graphs from Cascades: A Sparse Recovery Framework
Jean Pouget-Abadie and Thibaut Horel. ICML 2015 [arXiv]
Generative Adversarial Networks
Ian Goodfellow, Jean Pouget-Abadie, Medhi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. NIPS 2014 [arXiv]
Segmentation for Neural Machine Translation
Jean Pouget-Abadie, Dzmitry Bahdanau, Bart van Merriënboer, Kyung Hyun Cho, and Yoshua Bengio. SSST-8 @ EMNLP 2014 [arXiv]