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Subspace Embedding and Linear Regression with Orlicz Norm

Subspace Embedding and Linear Regression with Orlicz Norm

17 June 2018
Alexandr Andoni
Chengyu Lin
Ying Sheng
Peilin Zhong
Ruiqi Zhong
ArXiv (abs)PDFHTML

Papers citing "Subspace Embedding and Linear Regression with Orlicz Norm"

19 / 19 papers shown
Title
Generalized Sobolev Transport for Probability Measures on a Graph
Generalized Sobolev Transport for Probability Measures on a Graph
Tam Le
Truyen V. Nguyen
Kenji Fukumizu
OT
112
7
0
07 Feb 2024
Fast Heavy Inner Product Identification Between Weights and Inputs in
  Neural Network Training
Fast Heavy Inner Product Identification Between Weights and Inputs in Neural Network Training
Lianke Qin
Saayan Mitra
Zhao Song
Yuanyuan Yang
Dinesh Manocha
75
0
0
19 Nov 2023
Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph
  Neural Network?
Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph Neural Network?
Lianke Qin
Zhao Song
Baocheng Sun
96
7
0
14 Sep 2023
A Fast Optimization View: Reformulating Single Layer Attention in LLM
  Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time
A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time
Yeqi Gao
Zhao Song
Weixin Wang
Junze Yin
114
29
0
14 Sep 2023
Online Adaptive Mahalanobis Distance Estimation
Online Adaptive Mahalanobis Distance Estimation
Lianke Qin
Aravind Reddy
Zhao Song
70
1
0
02 Sep 2023
Efficient SGD Neural Network Training via Sublinear Activated Neuron
  Identification
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification
Lianke Qin
Zhao Song
Yuanyuan Yang
59
9
0
13 Jul 2023
Federated Empirical Risk Minimization via Second-Order Method
Federated Empirical Risk Minimization via Second-Order Method
S. Bian
Zhao Song
Junze Yin
FedML
85
8
0
27 May 2023
Randomized and Deterministic Attention Sparsification Algorithms for
  Over-parameterized Feature Dimension
Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimension
Yichuan Deng
Sridhar Mahadevan
Zhao Song
54
35
0
10 Apr 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth
  Channel and Vulnerability
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
Zhao Song
Yitan Wang
Zheng Yu
Licheng Zhang
FedML
87
29
0
15 Oct 2022
Dynamic Tensor Product Regression
Dynamic Tensor Product Regression
Aravind Reddy
Zhao Song
Licheng Zhang
97
22
0
08 Oct 2022
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity
Christian Frohlich
Robert C. Williamson
60
5
0
05 Aug 2022
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Shunhua Jiang
Yunze Man
Zhao Song
Zheng Yu
Danyang Zhuo
84
6
0
04 Dec 2021
Fast Sketching of Polynomial Kernels of Polynomial Degree
Fast Sketching of Polynomial Kernels of Polynomial Degree
Zhao Song
David P. Woodruff
Zheng Yu
Lichen Zhang
77
41
0
21 Aug 2021
Coresets for Classification -- Simplified and Strengthened
Coresets for Classification -- Simplified and Strengthened
Tung Mai
Anup B. Rao
Cameron Musco
96
35
0
08 Jun 2021
Subspace Embeddings Under Nonlinear Transformations
Subspace Embeddings Under Nonlinear Transformations
Aarshvi Gajjar
Cameron Musco
49
5
0
05 Oct 2020
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
91
83
0
20 Jun 2020
Sketching Transformed Matrices with Applications to Natural Language
  Processing
Sketching Transformed Matrices with Applications to Natural Language Processing
Yingyu Liang
Zhao Song
Mengdi Wang
Lin F. Yang
Xin Yang
113
4
0
23 Feb 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
77
23
0
04 Oct 2019
Total Least Squares Regression in Input Sparsity Time
Total Least Squares Regression in Input Sparsity Time
H. Diao
Zhao Song
David P. Woodruff
Xin Yang
35
8
0
27 Sep 2019
1