High-Dimensional Robust Mean Estimation via Gradient Descent

4 May 2020

Papers citing "High-Dimensional Robust Mean Estimation via Gradient Descent"

10 / 10 papers shown

Title
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models Pranjal Awasthi Abhimanyu Das Weihao Kong Rajat Sen 81 6 0 09 Jun 2022
Robust Estimation for Random Graphs Jayadev Acharya Ayush Jain Gautam Kamath A. Suresh Huanyu Zhang 93 9 0 09 Nov 2021
Outlier-Robust Sparse Estimation via Non-Convex Optimization Yu Cheng Ilias Diakonikolas Rong Ge Shivam Gupta D. Kane Mahdi Soltanolkotabi 88 13 0 23 Sep 2021
Heavy-tailed Streaming Statistical Estimation Che-Ping Tsai Adarsh Prasad Sivaraman Balakrishnan Pradeep Ravikumar 79 10 0 25 Aug 2021
Robustly Learning Mixtures of $k$ Arbitrary Gaussians Ainesh Bakshi Ilias Diakonikolas Hengrui Jia D. Kane Pravesh Kothari Santosh Vempala 86 65 0 03 Dec 2020
$Robust Mean Estimation in High Dimensions via $\ell_0$ Minimization$ Robust Mean Estimation in High Dimensions via $\ell_0$ Minimization Jing Liu Aditya Deshmukh Venugopal V. Veeravalli 39 0 0 21 Aug 2020
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers Lunjia Hu Omer Reingold OOD 71 5 0 18 Aug 2020
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization Samuel B. Hopkins Jingkai Li Fred Zhang OOD 86 62 0 31 Jul 2020
Outlier Robust Mean Estimation with Subgaussian Rates via Stability Ilias Diakonikolas D. Kane Ankit Pensia 80 59 0 30 Jul 2020
Robust estimation via generalized quasi-gradients Banghua Zhu Jiantao Jiao Jacob Steinhardt 78 42 0 28 May 2020