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. 1608.04773
  4. Cited By
Faster Principal Component Regression and Stable Matrix Chebyshev
  Approximation

Faster Principal Component Regression and Stable Matrix Chebyshev Approximation

16 August 2016
Zeyuan Allen-Zhu
Yuanzhi Li
ArXivPDFHTML

Papers citing "Faster Principal Component Regression and Stable Matrix Chebyshev Approximation"

3 / 3 papers shown
Title
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without
  Gradients
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients
Hualin Zhang
Huan Xiong
Bin Gu
22
7
0
04 Oct 2022
Over-parameterized Adversarial Training: An Analysis Overcoming the
  Curse of Dimensionality
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality
Yi Zhang
Orestis Plevrakis
S. Du
Xingguo Li
Zhao-quan Song
Sanjeev Arora
11
51
0
16 Feb 2020
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods
Katyusha: The First Direct Acceleration of Stochastic Gradient Methods
Zeyuan Allen-Zhu
ODL
15
575
0
18 Mar 2016
1