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2009.09829
Cited By
Generalized Leverage Score Sampling for Neural Networks
21 September 2020
J. Lee
Ruoqi Shen
Zhao-quan Song
Mengdi Wang
Zheng Yu
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Papers citing
"Generalized Leverage Score Sampling for Neural Networks"
29 / 29 papers shown
Title
An Automatic Learning Rate Schedule Algorithm for Achieving Faster Convergence and Steeper Descent
Zhao-quan Song
Chiwun Yang
29
9
0
17 Oct 2023
Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph Neural Network?
Lianke Qin
Zhao-quan Song
Baocheng Sun
23
6
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
Yeqi Gao
Zhao-quan Song
Weixin Wang
Junze Yin
20
25
0
14 Sep 2023
How to Protect Copyright Data in Optimization of Large Language Models?
T. Chu
Zhao-quan Song
Chiwun Yang
34
29
0
23 Aug 2023
Convergence of Two-Layer Regression with Nonlinear Units
Yichuan Deng
Zhao-quan Song
Shenghao Xie
23
7
0
16 Aug 2023
Controlling the Inductive Bias of Wide Neural Networks by Modifying the Kernel's Spectrum
Amnon Geifman
Daniel Barzilai
Ronen Basri
Meirav Galun
29
5
0
26 Jul 2023
Efficient SGD Neural Network Training via Sublinear Activated Neuron Identification
Lianke Qin
Zhao-quan Song
Yuanyuan Yang
25
9
0
13 Jul 2023
Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis
Xiangyi Chen
Zhao-quan Song
Baochen Sun
Junze Yin
Danyang Zhuo
34
3
0
06 Jun 2023
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing
Josh Alman
Jiehao Liang
Zhao-quan Song
Ruizhe Zhang
Danyang Zhuo
71
31
0
25 Nov 2022
A Sublinear Adversarial Training Algorithm
Yeqi Gao
Lianke Qin
Zhao-quan Song
Yitan Wang
GAN
31
25
0
10 Aug 2022
Federated Adversarial Learning: A Framework with Convergence Analysis
Xiaoxiao Li
Zhao-quan Song
Jiaming Yang
FedML
27
19
0
07 Aug 2022
Bounding the Width of Neural Networks via Coupled Initialization -- A Worst Case Analysis
Alexander Munteanu
Simon Omlor
Zhao-quan Song
David P. Woodruff
27
15
0
26 Jun 2022
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time
Zhao-quan Song
Licheng Zhang
Ruizhe Zhang
23
63
0
14 Dec 2021
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Shunhua Jiang
Yunze Man
Zhao-quan Song
Zheng Yu
Danyang Zhuo
29
6
0
04 Dec 2021
Does Preprocessing Help Training Over-parameterized Neural Networks?
Zhao-quan Song
Shuo Yang
Ruizhe Zhang
35
49
0
09 Oct 2021
Fast Sketching of Polynomial Kernels of Polynomial Degree
Zhao-quan Song
David P. Woodruff
Zheng Yu
Lichen Zhang
15
40
0
21 Aug 2021
Scaling Neural Tangent Kernels via Sketching and Random Features
A. Zandieh
Insu Han
H. Avron
N. Shoham
Chaewon Kim
Jinwoo Shin
11
31
0
15 Jun 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis
Baihe Huang
Xiaoxiao Li
Zhao-quan Song
Xin Yang
FedML
23
16
0
11 May 2021
Random Features for the Neural Tangent Kernel
Insu Han
H. Avron
N. Shoham
Chaewon Kim
Jinwoo Shin
21
9
0
03 Apr 2021
Learning with Neural Tangent Kernels in Near Input Sparsity Time
A. Zandieh
4
0
0
01 Apr 2021
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation
Kenneth Borup
L. Andersen
25
14
0
25 Feb 2021
Metric Transforms and Low Rank Matrices via Representation Theory of the Real Hyperrectangle
Josh Alman
T. Chu
Gary Miller
Shyam Narayanan
Mark Sellke
Zhao-quan Song
6
1
0
23 Nov 2020
Algorithms and Hardness for Linear Algebra on Geometric Graphs
Josh Alman
T. Chu
Aaron Schild
Zhao-quan Song
51
29
0
04 Nov 2020
MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery
Xiaoxiao Li
Yangsibo Huang
Binghui Peng
Zhao-quan Song
K. Li
MIACV
20
1
0
22 Oct 2020
A Modular Analysis of Provable Acceleration via Polyak's Momentum: Training a Wide ReLU Network and a Deep Linear Network
Jun-Kun Wang
Chi-Heng Lin
Jacob D. Abernethy
8
23
0
04 Oct 2020
Deep Equals Shallow for ReLU Networks in Kernel Regimes
A. Bietti
Francis R. Bach
28
86
0
30 Sep 2020
Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda
Taiji Suzuki
6
41
0
22 Jun 2020
An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications
Haotian Jiang
Y. Lee
Zhao-quan Song
Sam Chiu-wai Wong
14
106
0
08 Apr 2020
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
86
277
0
09 Aug 2012
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