High-Dimensional Robust Mean Estimation via Gradient Descent

4 May 2020

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

8 / 8 papers shown

Title
Learning High-dimensional Gaussians from Censored Data Arnab Bhattacharyya C. Daskalakis Themis Gouleakis Yuhao Wang 31 0 0 28 Apr 2025
Federated Transformed Learning for a Circular, Secure, and Tiny AI Weisi Guo S. Sun Bin Li Sam Blakeman 24 0 0 24 Nov 2023
Robust Sparse Mean Estimation via Incremental Learning Jianhao Ma Ruidi Chen Yinghui He S. Fattahi Wei Hu 36 0 0 24 May 2023
Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear Models Pranjal Awasthi Abhimanyu Das Weihao Kong Rajat Sen 23 5 0 09 Jun 2022
Robust Estimation for Random Graphs Jayadev Acharya Ayush Jain Gautam Kamath A. Suresh Huanyu Zhang 30 8 0 09 Nov 2021
Outlier-Robust Sparse Estimation via Non-Convex Optimization Yu Cheng Ilias Diakonikolas Rong Ge Shivam Gupta D. Kane Mahdi Soltanolkotabi 42 13 0 23 Sep 2021
Outlier Robust Mean Estimation with Subgaussian Rates via Stability Ilias Diakonikolas D. Kane Ankit Pensia 29 57 0 30 Jul 2020
Robust estimation via generalized quasi-gradients Banghua Zhu Jiantao Jiao Jacob Steinhardt 23 43 0 28 May 2020