| AE: A domain-agnostic platform for adaptive experimentation E Bakshy, L Dworkin, B Karrer, K Kashin, B Letham, A Murthy, S Singh Conference on Neural Information Processing Systems, 1-8, 2018 | 134 | 2018 |
| Real-world video adaptation with reinforcement learning H Mao, S Chen, D Dimmery, S Singh, D Blaisdell, Y Tian, M Alizadeh, ... arXiv preprint arXiv:2008.12858, 2020 | 70 | 2020 |
| Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints S Daulton, S Singh, V Avadhanula, D Dimmery, E Bakshy arXiv preprint arXiv:1911.00638, 2019 | 19 | 2019 |
| Looper: An end-to-end ML platform for product decisions IL Markov, H Wang, NS Kasturi, S Singh, MR Garrard, Y Huang, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 13 | 2022 |
| Interpretable Personalized Experimentation H Wu, S Tan, W Li, M Garrard, A Obeng, D Dimmery, S Singh, H Wang, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 8 | 2022 |
| Neural Pseudo-Label Optimism for the Bank Loan Problem A Pacchiano, S Singh, E Chou, A Berg, J Foerster Advances in Neural Information Processing Systems 34, 6580-6593, 2021 | 7 | 2021 |
| Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies. H Wu, S Tan, W Li, M Garrard, A Obeng, D Dimmery, S Singh, H Wang, ... CoRR, 2021 | 3 | 2021 |
| Unbiased Decisions Reduce Regret: Adversarial Domain Adaptation for the Bank Loan Problem E Gal, S Singh, A Pacchiano, B Walker, T Lyons, J Foerster arXiv preprint arXiv:2308.08051, 2023 | | 2023 |
| Practical Policy Optimization with Personalized Experimentation M Garrard, H Wang, B Letham, S Singh, A Kazerouni, S Tan, Z Wang, ... arXiv preprint arXiv:2303.17648, 2023 | | 2023 |
Eytan BakshyResearch Director, MetaVerified email at fb.com
