How Hard Is Robust Mean Estimation?

19 March 2019

Papers citing "How Hard Is Robust Mean Estimation?"

9 / 9 papers shown

Title
Statistically Optimal Robust Mean and Covariance Estimation for Anisotropic Gaussians A. Minasyan Nikita Zhivotovskiy 29 9 0 21 Jan 2023
Robustness Implies Privacy in Statistical Estimation Samuel B. Hopkins Gautam Kamath Mahbod Majid Shyam Narayanan 18 50 0 09 Dec 2022
Learning GMMs with Nearly Optimal Robustness Guarantees Allen Liu Ankur Moitra 26 15 0 19 Apr 2021
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent Matthew Brennan Guy Bresler Samuel B. Hopkins Jingkai Li T. Schramm 19 62 0 13 Sep 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability Ilias Diakonikolas D. Kane Ankit Pensia 29 57 0 30 Jul 2020
Designing Differentially Private Estimators in High Dimensions Aditya Dhar Jason Huang 19 1 0 02 Jun 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 31 86 0 16 May 2020
On Robust Mean Estimation under Coordinate-level Corruption Zifan Liu Jongho Park Theodoros Rekatsinas Christos Tzamos 33 8 0 10 Feb 2020
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection Yihe Dong Samuel B. Hopkins Jungshian Li 15 99 0 26 Jun 2019