| 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 | 78106 | 2014 |
| 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 | 15710 | 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 | 121 | 2017 |
| 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 | 104 | 2014 |
| Inferring Graphs from Cascades: A Sparse Recovery Framework J Pouget-Abadie, T Horel ICML 37, 2015 | 69 | 2015 |
| 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 | 64 | 2019 |
| 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 | 58 | 2019 |
| 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 | 45 | 2023 |
| 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 | 29 | 2018 |
| Causal inference with bipartite designs N Doudchenko, M Zhang, E Drynkin, E Airoldi, V Mirrokni, ... arXiv preprint arXiv:2010.02108, 2020 | 25 | 2020 |
| Cluster Randomized Designs for One-Sided Bipartite Experiments J Brennan, V Mirrokni, J Pouget-Abadie Advances in Neural Information Processing Systems 35, 2022 | 23 | 2022 |
| 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 | 18 | 2019 |
| 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 | 17 | 2021 |
| 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 | 12 | 2023 |
| Optimizing randomized and deterministic saturation designs under interference C Cai, J Pouget-Abadie, EM Airoldi arXiv preprint arXiv:2203.09682, 2022 | 6 | 2022 |
| Dealing with Interference on Experimentation Platforms J Pouget-Abadie Harvard University, 2018 | 5 | 2018 |
| A Study of" Symbiosis Bias" in A/B Tests of Recommendation Algorithms D Holtz, J Brennan, J Pouget-Abadie arXiv preprint arXiv:2309.07107, 2023 | 4 | 2023 |
| 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 | 3 | 2023 |
| 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 | 1 | 2024 |
| Causal Inference with Differentially Private (Clustered) Outcomes A Javanmard, V Mirrokni, J Pouget-Abadie arXiv preprint arXiv:2308.00957, 2023 | 1 | 2023 |
Mehdi MirzaDeepMindVerified email at google.com