| A nearly tight sum-of-squares lower bound for the planted clique problem B Barak, S Hopkins, J Kelner, PK Kothari, A Moitra, A Potechin SIAM Journal on Computing 48 (2), 687-735, 2019 | 259 | 2019 |
| Mixture models, robustness, and sum of squares proofs SB Hopkins, J Li Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018 | 186 | 2018 |
| Tensor principal component analysis via sum-of-squares proofs SB Hopkins, J Shi, D Steurer arXiv preprint arXiv:1507.03269, 2015 | 180 | 2015 |
| Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors SB Hopkins, T Schramm, J Shi, D Steurer arXiv preprint arXiv:1512.02337, 2016 | 156 | 2016 |
| The power of sum-of-squares for detecting hidden structures SB Hopkins, PK Kothari, A Potechin, P Raghavendra, T Schramm, ... 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017 | 150 | 2017 |
| Bayesian estimation from few samples: community detection and related problems SB Hopkins, D Steurer arXiv preprint arXiv:1710.00264, 2017 | 146* | 2017 |
| Sub-gaussian mean estimation in polynomial time SB Hopkins arXiv preprint arXiv:1809.07425 120, 2018 | 120* | 2018 |
| Statistical inference and the sum of squares method S Hopkins Cornell University, 2018 | 109 | 2018 |
| Quantum entropy scoring for fast robust mean estimation and improved outlier detection Y Dong, S Hopkins, J Li Advances in Neural Information Processing Systems 32, 2019 | 104 | 2019 |
| Robustly learning any clusterable mixture of gaussians I Diakonikolas, SB Hopkins, D Kane, S Karmalkar arXiv preprint arXiv:2005.06417, 2020 | 69* | 2020 |
| Robust and heavy-tailed mean estimation made simple, via regret minimization S Hopkins, J Li, F Zhang Advances in Neural Information Processing Systems 33, 11902-11912, 2020 | 67 | 2020 |
| On the integrality gap of degree-4 sum of squares for planted clique SB Hopkins, P Kothari, AH Potechin, P Raghavendra, T Schramm ACM Transactions on Algorithms (TALG) 14 (3), 1-31, 2018 | 67* | 2018 |
| Statistical query algorithms and low-degree tests are almost equivalent M Brennan, G Bresler, SB Hopkins, J Li, T Schramm arXiv preprint arXiv:2009.06107, 2020 | 65 | 2020 |
| Efficient mean estimation with pure differential privacy via a sum-of-squares exponential mechanism SB Hopkins, G Kamath, M Majid Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022 | 60 | 2022 |
| Algorithms for heavy-tailed statistics: Regression, covariance estimation, and beyond Y Cherapanamjeri, SB Hopkins, T Kathuria, P Raghavendra, ... Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing …, 2020 | 45 | 2020 |
| Robustness implies privacy in statistical estimation SB Hopkins, G Kamath, M Majid, S Narayanan Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 497-506, 2023 | 41 | 2023 |
| How hard is robust mean estimation? SB Hopkins, J Li Conference on learning theory, 1649-1682, 2019 | 35 | 2019 |
| The Franz-Parisi criterion and computational trade-offs in high dimensional statistics AS Bandeira, A El Alaoui, S Hopkins, T Schramm, AS Wein, I Zadik Advances in Neural Information Processing Systems 35, 33831-33844, 2022 | 32 | 2022 |
| A robust spectral algorithm for overcomplete tensor decomposition SB Hopkins, T Schramm, J Shi Conference on Learning Theory, 1683-1722, 2019 | 25 | 2019 |
| Privacy induces robustness: Information-computation gaps and sparse mean estimation K Georgiev, S Hopkins Advances in neural information processing systems 35, 6829-6842, 2022 | 20 | 2022 |
David SteurerETH Zürich在 inf.ethz.ch 的电子邮件经过验证
