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. 2405.19175
  4. Cited By
Online Linear Regression in Dynamic Environments via Discounting

Online Linear Regression in Dynamic Environments via Discounting

29 May 2024
Andrew Jacobsen
Ashok Cutkosky
ArXivPDFHTML

Papers citing "Online Linear Regression in Dynamic Environments via Discounting"

5 / 5 papers shown
Title
Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret
Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret
Jiachen Qian
Yang Zheng
KELM
21
0
0
13 May 2025
General framework for online-to-nonconvex conversion: Schedule-free SGD
  is also effective for nonconvex optimization
General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization
Kwangjun Ahn
Gagik Magakyan
Ashok Cutkosky
51
0
0
11 Nov 2024
Discounted Adaptive Online Learning: Towards Better Regularization
Discounted Adaptive Online Learning: Towards Better Regularization
Zhiyu Zhang
David Bombara
Heng Yang
16
8
0
05 Feb 2024
Understanding Adam Optimizer via Online Learning of Updates: Adam is
  FTRL in Disguise
Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise
Kwangjun Ahn
Zhiyu Zhang
Yunbum Kook
Yan Dai
37
11
0
02 Feb 2024
Optimal Dynamic Regret in Exp-Concave Online Learning
Optimal Dynamic Regret in Exp-Concave Online Learning
Dheeraj Baby
Yu-Xiang Wang
37
43
0
23 Apr 2021
1