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Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond
v1v2 (latest)

Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond

6 September 2019
Jianjun Yuan
Andrew G. Lamperski
ArXiv (abs)PDFHTML

Papers citing "Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond"

10 / 10 papers shown
Title
Bayesian Ensembling: Insights from Online Optimization and Empirical Bayes
Bayesian Ensembling: Insights from Online Optimization and Empirical Bayes
Daniel Waxman
Fernando Llorente
Petar M. Djurić
83
0
0
21 May 2025
Online Linear Regression in Dynamic Environments via Discounting
Online Linear Regression in Dynamic Environments via Discounting
Andrew Jacobsen
Ashok Cutkosky
108
6
0
29 May 2024
Second Order Path Variationals in Non-Stationary Online Learning
Second Order Path Variationals in Non-Stationary Online Learning
Dheeraj Baby
Yu Wang
115
5
0
04 May 2022
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex
  Losses and Beyond
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond
Dheeraj Baby
Yu Wang
95
28
0
21 Jan 2022
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for
  Online Convex Optimization
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization
Peng Zhao
Yu Zhang
Lijun Zhang
Zhi Zhou
122
50
0
29 Dec 2021
Optimal Dynamic Regret in Exp-Concave Online Learning
Optimal Dynamic Regret in Exp-Concave Online Learning
Dheeraj Baby
Yu Wang
111
46
0
23 Apr 2021
An Optimal Reduction of TV-Denoising to Adaptive Online Learning
An Optimal Reduction of TV-Denoising to Adaptive Online Learning
Dheeraj Baby
Xuandong Zhao
Yu Wang
94
12
0
23 Jan 2021
Dynamic Regret of Convex and Smooth Functions
Dynamic Regret of Convex and Smooth Functions
Peng Zhao
Yu Zhang
Lijun Zhang
Zhi Zhou
104
105
0
07 Jul 2020
Unconstrained Online Optimization: Dynamic Regret Analysis of Strongly
  Convex and Smooth Problems
Unconstrained Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems
Ting-Jui Chang
Shahin Shahrampour
ODL
58
4
0
06 Jun 2020
Learning and Planning for Time-Varying MDPs Using Maximum Likelihood
  Estimation
Learning and Planning for Time-Varying MDPs Using Maximum Likelihood Estimation
Melkior Ornik
Ufuk Topcu
OOD
41
15
0
29 Nov 2019
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