Следене
Jean Pouget-Abadie
Jean Pouget-Abadie
Google Research
Потвърден имейл адрес: google.com - Начална страница
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Позовавания
Позовавания
Година
Generative adversarial nets
I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ...
Advances in neural information processing systems 27, 2014
793492014
Generative adversarial networks
I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ...
Communications of the ACM 63 (11), 139-144, 2020
15013*2020
Detecting network effects: Randomizing over randomized experiments
M Saveski, J Pouget-Abadie, G Saint-Jacques, W Duan, S Ghosh, Y Xu, ...
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
1192017
Overcoming the curse of sentence length for neural machine translation using automatic segmentation
J Pouget-Abadie, D Bahdanau, B Van Merrienboer, K Cho, Y Bengio
arXiv preprint arXiv:1409.1257, 2014
1042014
Variance reduction in bipartite experiments through correlation clustering
J Pouget-Abadie, K Aydin, W Schudy, K Brodersen, V Mirrokni
Advances in Neural Information Processing Systems 32, 2019
672019
Inferring Graphs from Cascades: A Sparse Recovery Framework
J Pouget-Abadie, T Horel
ICML 37, 2015
642015
Testing for arbitrary interference on experimentation platforms
J Pouget-Abadie, G Saint-Jacques, M Saveski, W Duan, S Ghosh, Y Xu, ...
Biometrika 106 (4), 929-940, 2019
582019
Design and analysis of bipartite experiments under a linear exposure-response model
C Harshaw, F Sävje, D Eisenstat, V Mirrokni, J Pouget-Abadie
Electronic Journal of Statistics 17 (1), 464-518, 2023
452023
Optimizing cluster-based randomized experiments under monotonicity
J Pouget-Abadie, V Mirrokni, DC Parkes, EM Airoldi
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
302018
Causal inference with bipartite designs
N Doudchenko, M Zhang, E Drynkin, E Airoldi, V Mirrokni, ...
arXiv preprint arXiv:2010.02108, 2020
262020
Cluster Randomized Designs for One-Sided Bipartite Experiments
J Brennan, V Mirrokni, J Pouget-Abadie
Advances in Neural Information Processing Systems 35, 2022
252022
Randomized experimental design via geographic clustering
D Rolnick, K Aydin, J Pouget-Abadie, S Kamali, V Mirrokni, A Najmi
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
182019
Synthetic design: An optimization approach to experimental design with synthetic controls
N Doudchenko, K Khosravi, J Pouget-Abadie, S Lahaie, M Lubin, ...
Advances in Neural Information Processing Systems 34, 8691-8701, 2021
152021
Modeling Interference Using Experiment Roll-out
A Boyarsky, H Namkoong, J Pouget-Abadie
Proceedings of the 24th Conference on Economics and Computation, 2023, 298, 2023
102023
Optimizing randomized and deterministic saturation designs under interference
C Cai, J Pouget-Abadie, EM Airoldi
arXiv preprint arXiv:2203.09682, 2022
62022
Dealing with Interference on Experimentation Platforms
J Pouget-Abadie
Harvard University, 2018
52018
A Study of Symbiosis Bias in A/B Tests of Recommendation Algorithms
D Holtz, J Brennan, J Pouget-Abadie
arXiv e-prints, arXiv: 2309.07107, 2023
22023
Causal Estimation of User Learning in Personalized Systems
E Munro, D Jones, J Brennan, R Nelet, V Mirrokni, J Pouget-Abadie
Proceedings of the 24th ACM Conference on Economics and Computation, 992--1016, 2023
22023
Country-diverted experiments for mitigation of network effects
L Lin, C Meng, J Brennan, J Pouget-Abadie, N Han, S Bi, Y Peng
Proceedings of the 18th ACM Conference on Recommender Systems, 765-767, 2024
12024
Causal Inference with Differentially Private (Clustered) Outcomes
A Javanmard, V Mirrokni, J Pouget-Abadie
arXiv preprint arXiv:2308.00957, 2023
12023
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