Samuel B. Hopkins
University of California, Berkeley
H-index: 19
North America-United States
Top articles of Samuel B. Hopkins
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares
arXiv preprint arXiv:2404.15409
2024/4/23
Adversarially-Robust Inference on Trees via Belief Propagation
arXiv preprint arXiv:2404.00768
2024/3/31
A quasi-polynomial time algorithm for Multi-Dimensional Scaling via LP hierarchies
arXiv preprint arXiv:2311.17840
2023/11/29
Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation
arXiv preprint arXiv:2311.13010
2023/11/21
The Full Landscape of Robust Mean Testing: Sharp Separations between Oblivious and Adaptive Contamination
2023/11/6
Towards Practical Robustness Auditing for Linear Regression
arXiv preprint arXiv:2307.16315
2023/7/30
Fast, sample-efficient, affine-invariant private mean and covariance estimation for subgaussian distributions
2023/7/12
Robustness implies privacy in statistical estimation
2023/6/2
Privacy induces robustness: Information-computation gaps and sparse mean estimation
Advances in neural information processing systems
2022/12/6
The Franz-Parisi criterion and computational trade-offs in high dimensional statistics
Advances in Neural Information Processing Systems
2022/12/6
Efficient mean estimation with pure differential privacy via a sum-of-squares exponential mechanism
2022/6/9
Smoothed complexity of 2-player Nash equilibria
2020/11/16
Statistical query algorithms and low-degree tests are almost equivalent
arXiv preprint arXiv:2009.06107
2020/9/13
Algorithms for heavy-tailed statistics: Regression, covariance estimation, and beyond
2020/6/8
Robustly learning any clusterable mixture of gaussians
arXiv preprint arXiv:2005.06417
2020/5/13
Estimating rank-one spikes from heavy-tailed noise via self-avoiding walks
Advances in Neural Information Processing Systems
2020
Robust and heavy-tailed mean estimation made simple, via regret minimization
Advances in Neural Information Processing Systems
2020
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