On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors

20 July 2021

Papers citing "On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors"

17 / 17 papers shown

Title
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks Jingqiu Ding Samuel B. Hopkins David Steurer 36 10 0 31 Aug 2020
Perturbation Bounds for (Nearly) Orthogonally Decomposable Tensors Arnab Auddy Ming Yuan 23 3 0 17 Jul 2020
User-Friendly Covariance Estimation for Heavy-Tailed Distributions Y. Ke Stanislav Minsker Zhao Ren Qiang Sun Wen-Xin Zhou 35 57 0 05 Nov 2018
Robust covariance estimation under $L_4-L_2$ norm equivalence S. Mendelson Nikita Zhivotovskiy 64 61 0 27 Sep 2018
Robust Modifications of U-statistics and Applications to Covariance Estimation Problems Stanislav Minsker Xiaohan Wei 32 27 0 17 Jan 2018
The landscape of the spiked tensor model Gerard Ben Arous Song Mei Andrea Montanari Mihai Nica 32 115 0 15 Nov 2017
Estimation of the covariance structure of heavy-tailed distributions Stanislav Minsker Xiaohan Wei 57 38 0 01 Aug 2017
Tensor SVD: Statistical and Computational Limits Anru R. Zhang Dong Xia 42 167 0 08 Mar 2017
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 138 1,350 0 06 Jul 2016
Sub-Gaussian estimators of the mean of a random matrix with heavy-tailed entries Stanislav Minsker 51 103 0 23 May 2016
PAC-Bayesian bounds for the Gram matrix and least squares regression with a random design O. Catoni 30 45 0 16 Mar 2016
Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors Samuel B. Hopkins T. Schramm Jonathan Shi David Steurer 98 136 0 08 Dec 2015
PAC-Bayesian bounds for Principal Component Analysis in Hilbert spaces Ilaria Giulini 35 7 0 19 Nov 2015
Tensor principal component analysis via sum-of-squares proofs Samuel B. Hopkins Jonathan Shi David Steurer 87 162 0 12 Jul 2015
A statistical model for tensor PCA Andrea Montanari E. Richard 33 259 0 04 Nov 2014
Tensor decompositions for learning latent variable models Anima Anandkumar Rong Ge Daniel J. Hsu Sham Kakade Matus Telgarsky 240 1,142 0 29 Oct 2012
Challenging the empirical mean and empirical variance: a deviation study O. Catoni 100 462 0 10 Sep 2010