ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.00248
  4. Cited By
A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee

A Nearly-Optimal Bound for Fast Regression with ℓ∞\ell_\inftyℓ∞​ Guarantee

1 February 2023
Zhao Song
Mingquan Ye
Junze Yin
Licheng Zhang
ArXiv (abs)PDFHTML

Papers citing "A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee"

11 / 11 papers shown
Title
Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse
Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse
Josh Alman
Zhao Song
98
2
0
22 May 2025
Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform
Fast RoPE Attention: Combining the Polynomial Method and Fast Fourier Transform
Josh Alman
Zhao Song
101
16
0
17 May 2025
Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches
Yifang Chen
Xuyang Guo
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao Song
103
3
0
03 Mar 2025
Binary Hypothesis Testing for Softmax Models and Leverage Score Models
Binary Hypothesis Testing for Softmax Models and Leverage Score Models
Yeqi Gao
Yuzhou Gu
Zhao Song
53
0
0
09 May 2024
Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups
  without Data-Dependent Parameters
Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters
Zhao Song
Junze Yin
Ruizhe Zhang
71
9
0
24 Nov 2023
The Expressibility of Polynomial based Attention Scheme
The Expressibility of Polynomial based Attention Scheme
Zhao Song
Guangyi Xu
Junze Yin
93
5
0
30 Oct 2023
How to Capture Higher-order Correlations? Generalizing Matrix Softmax
  Attention to Kronecker Computation
How to Capture Higher-order Correlations? Generalizing Matrix Softmax Attention to Kronecker Computation
Josh Alman
Zhao Song
124
37
0
06 Oct 2023
Solving Attention Kernel Regression Problem via Pre-conditioner
Solving Attention Kernel Regression Problem via Pre-conditioner
Zhao Song
Junze Yin
Licheng Zhang
82
15
0
28 Aug 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
A Faster $k$-means++ Algorithm
A Faster kkk-means++ Algorithm
Jiehao Liang
Somdeb Sarkhel
Zhao Song
Chenbo Yin
Junze Yin
Danyang Zhuo
56
5
0
28 Nov 2022
1