| 2-server PIR with subpolynomial communication Z Dvir, S Gopi Journal of the ACM (JACM) 63 (4), 1-15, 2016 | 139 | 2016 |
| One-bit compressed sensing: Provable support and vector recovery S Gopi, P Netrapalli, P Jain, A Nori International Conference on Machine Learning, 154-162, 2013 | 89 | 2013 |
| Differentially private fine-tuning of language models D Yu, S Naik, A Backurs, S Gopi, HA Inan, G Kamath, J Kulkarni, YT Lee, ... arXiv preprint arXiv:2110.06500, 2021 | 87 | 2021 |
| Numerical composition of differential privacy S Gopi, YT Lee, L Wutschitz Advances in Neural Information Processing Systems 34, 11631-11642, 2021 | 56 | 2021 |
| Competitive analysis of the top-K ranking problem X Chen, S Gopi, J Mao, J Schneider Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017 | 39 | 2017 |
| Maximally recoverable LRCs: A field size lower bound and constructions for few heavy parities S Gopi, V Guruswami, S Yekhanin IEEE Transactions on Information Theory 66 (10), 6066-6083, 2020 | 37 | 2020 |
| Locally testable and locally correctable codes approaching the Gilbert-Varshamov bound S Gopi, S Kopparty, R Oliveira, N Ron-Zewi, S Saraf IEEE Transactions on Information Theory 64 (8), 5813-5831, 2018 | 32 | 2018 |
| Trellis BMA: Coded trace reconstruction on IDS channels for DNA storage SR Srinivasavaradhan, S Gopi, HD Pfister, S Yekhanin 2021 IEEE International Symposium on Information Theory (ISIT), 2453-2458, 2021 | 30 | 2021 |
| Fast and memory efficient differentially private-sgd via jl projections Z Bu, S Gopi, J Kulkarni, YT Lee, H Shen, U Tantipongpipat Advances in Neural Information Processing Systems 34, 19680-19691, 2021 | 29 | 2021 |
| Differentially private set union S Gopi, P Gulhane, J Kulkarni, JH Shen, M Shokouhi, S Yekhanin International Conference on Machine Learning, 3627-3636, 2020 | 25 | 2020 |
| Gaussian width bounds with applications to arithmetic progressions in random settings J Briët, S Gopi International Mathematics Research Notices 2020 (22), 8673-8696, 2020 | 19 | 2020 |
| On the number of rich lines in truly high dimensional sets Z Dvir, S Gopi arXiv preprint arXiv:1412.1060, 2014 | 19 | 2014 |
| Outlaw distributions and locally decodable codes J Briët, Z Dvir, S Gopi arXiv preprint arXiv:1609.06355, 2016 | 18 | 2016 |
| Private convex optimization via exponential mechanism S Gopi, YT Lee, D Liu Conference on Learning Theory, 1948-1989, 2022 | 17 | 2022 |
| Improved maximally recoverable LRCs using skew polynomials S Gopi, V Guruswami IEEE Transactions on Information Theory 68 (11), 7198-7214, 2022 | 17 | 2022 |
| Locally private hypothesis selection S Gopi, G Kamath, J Kulkarni, A Nikolov, ZS Wu, H Zhang Conference on Learning Theory, 1785-1816, 2020 | 16 | 2020 |
| On Maximally Recoverable Local Reconstruction Codes. S Gopi, V Guruswami, S Yekhanin Electron. Colloquium Comput. Complex. 24, 183, 2017 | 13 | 2017 |
| Synthesis from incompatible specifications P Černý, S Gopi, TA Henzinger, A Radhakrishna, N Totla Proceedings of the tenth ACM international conference on Embedded software …, 2012 | 13 | 2012 |
| Lower bounds for 2-query LCCs over large alphabet A Bhattacharyya, S Gopi, A Tal arXiv preprint arXiv:1611.06980, 2016 | 12 | 2016 |
| Generic Reed-Solomon codes achieve list-decoding capacity J Brakensiek, S Gopi, V Makam arXiv preprint arXiv:2206.05256, 2022 | 7 | 2022 |
Sergey YekhaninMicrosoftBestätigte E-Mail-Adresse bei microsoft.com
