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Dimensionality Reduction for Tukey Regression

Dimensionality Reduction for Tukey Regression

14 May 2019
K. Clarkson
Ruosong Wang
David P. Woodruff
ArXivPDFHTML

Papers citing "Dimensionality Reduction for Tukey Regression"

8 / 8 papers shown
Title
No Dimensional Sampling Coresets for Classification
No Dimensional Sampling Coresets for Classification
M. Alishahi
Jeff M. Phillips
42
1
0
07 Feb 2024
Computing Approximate $\ell_p$ Sensitivities
Computing Approximate ℓp\ell_pℓp​ Sensitivities
Swati Padmanabhan
David P. Woodruff
Qiuyi Zhang
55
0
0
07 Nov 2023
Online Lewis Weight Sampling
Online Lewis Weight Sampling
David P. Woodruff
T. Yasuda
34
21
0
17 Jul 2022
Hardness and Algorithms for Robust and Sparse Optimization
Hardness and Algorithms for Robust and Sparse Optimization
Eric Price
Sandeep Silwal
Samson Zhou
46
7
0
29 Jun 2022
Oblivious sketching for logistic regression
Oblivious sketching for logistic regression
Alexander Munteanu
Simon Omlor
David P. Woodruff
UQCV
46
17
0
14 Jul 2021
Training (Overparametrized) Neural Networks in Near-Linear Time
Training (Overparametrized) Neural Networks in Near-Linear Time
Jan van den Brand
Binghui Peng
Zhao Song
Omri Weinstein
ODL
34
82
0
20 Jun 2020
Efficient Symmetric Norm Regression via Linear Sketching
Efficient Symmetric Norm Regression via Linear Sketching
Zhao Song
Ruosong Wang
Lin F. Yang
Hongyang R. Zhang
Peilin Zhong
33
22
0
04 Oct 2019
Towards a Zero-One Law for Column Subset Selection
Towards a Zero-One Law for Column Subset Selection
Zhao Song
David P. Woodruff
Peilin Zhong
34
33
0
04 Nov 2018
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