Quantized Low-Rank Multivariate Regression with Random Dithering

22 February 2023

Papers citing "Quantized Low-Rank Multivariate Regression with Random Dithering"

6 / 6 papers shown

Title
A Parameter-Free Two-Bit Covariance Estimator with Improved Operator Norm Error Rate Junren Chen Michael Kwok-Po Ng MQ 13 5 0 30 Aug 2023
Two Results on Low-Rank Heavy-Tailed Multiresponse Regressions Kangqiang Li Yuxuan Wang 31 1 0 23 May 2023
Quantizing Heavy-tailed Data in Statistical Estimation: (Near) Minimax Rates, Covariate Quantization, and Uniform Recovery Junren Chen Michael Kwok-Po Ng Di Wang MQ 24 12 0 30 Dec 2022
Quantizing data for distributed learning Osama A. Hanna Yahya H. Ezzeldin Christina Fragouli Suhas Diggavi FedML 39 20 0 14 Dec 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 165 760 0 28 Sep 2019
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery Jianqing Fan Weichen Wang Ziwei Zhu 49 96 0 28 Mar 2016