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Generalized Leverage Score Sampling for Neural Networks

Generalized Leverage Score Sampling for Neural Networks

21 September 2020
J. Lee
Ruoqi Shen
Zhao-quan Song
Mengdi Wang
Zheng Yu
ArXivPDFHTML

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
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?
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
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?
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
Convergence of Two-Layer Regression with Nonlinear Units
Yichuan Deng
Zhao-quan Song
Shenghao Xie
21
7
0
16 Aug 2023
Controlling the Inductive Bias of Wide Neural Networks by Modifying the
  Kernel's Spectrum
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
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
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
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
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
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
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
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
Fast Graph Neural Tangent Kernel via Kronecker Sketching
Shunhua Jiang
Yunze Man
Zhao-quan Song
Zheng Yu
Danyang Zhuo
26
6
0
04 Dec 2021
Does Preprocessing Help Training Over-parameterized Neural Networks?
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
Fast Sketching of Polynomial Kernels of Polynomial Degree
Zhao-quan Song
David P. Woodruff
Zheng Yu
Lichen Zhang
13
40
0
21 Aug 2021
Scaling Neural Tangent Kernels via Sketching and Random Features
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
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
Random Features for the Neural Tangent Kernel
Insu Han
H. Avron
N. Shoham
Chaewon Kim
Jinwoo Shin
19
9
0
03 Apr 2021
Learning with Neural Tangent Kernels in Near Input Sparsity Time
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
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation
Kenneth Borup
L. Andersen
22
14
0
25 Feb 2021
Metric Transforms and Low Rank Matrices via Representation Theory of the
  Real Hyperrectangle
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
Algorithms and Hardness for Linear Algebra on Geometric Graphs
Josh Alman
T. Chu
Aaron Schild
Zhao-quan Song
49
29
0
04 Nov 2020
MixCon: Adjusting the Separability of Data Representations for Harder
  Data Recovery
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
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
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
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
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
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
83
277
0
09 Aug 2012
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