Geometric median and robust estimation in Banach spaces

6 August 2013

Papers citing "Geometric median and robust estimation in Banach spaces"

10 / 60 papers shown

Title
Convergence rates of least squares regression estimators with heavy-tailed errors Q. Han J. Wellner 15 44 0 07 Jun 2017
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent Yudong Chen Lili Su Jiaming Xu FedML 13 241 0 16 May 2017
Sub-Gaussian estimators of the mean of a random vector Gábor Lugosi S. Mendelson 19 168 0 01 Feb 2017
On the estimation of the mean of a random vector Émilien Joly Gábor Lugosi R. Oliveira 19 39 0 19 Jul 2016
Sub-Gaussian estimators of the mean of a random matrix with heavy-tailed entries Stanislav Minsker 32 103 0 23 May 2016
DECOrrelated feature space partitioning for distributed sparse regression Xiangyu Wang David B. Dunson Chenlei Leng 45 21 0 08 Feb 2016
$Estimating the geometric median in Hilbert spaces with stochastic gradient algorithms: $L^{p}$ and almost sure rates of convergence$ Estimating the geometric median in Hilbert spaces with stochastic gradient algorithms: $L^{p}$ and almost sure rates of convergence Antoine Godichon 16 8 0 09 Apr 2015
Median Selection Subset Aggregation for Parallel Inference Xiangyu Wang Peichao Peng David B. Dunson 44 23 0 24 Oct 2014
On the Optimality of Averaging in Distributed Statistical Learning Jonathan D. Rosenblatt B. Nadler FedML 32 109 0 10 Jul 2014
Disease Prediction based on Functional Connectomes using a Scalable and Spatially-Informed Support Vector Machine Takanori Watanabe Daniel A Kessler Clayton Scott Mike Angstadt Chandra S. Sripada 51 62 0 21 Oct 2013