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Optimal Dynamic Regret in Exp-Concave Online Learning

Optimal Dynamic Regret in Exp-Concave Online Learning

23 April 2021
Dheeraj Baby
Yu-Xiang Wang
ArXivPDFHTML

Papers citing "Optimal Dynamic Regret in Exp-Concave Online Learning"

18 / 18 papers shown
Title
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
Dheeraj Baby
Boran Han
Shuai Zhang
Cuixiong Hu
Yuyang Wang
Yu-Xiang Wang
OOD
50
0
0
09 Apr 2025
Lower Bounds for Time-Varying Kernelized Bandits
Lower Bounds for Time-Varying Kernelized Bandits
Xu Cai
Jonathan Scarlett
36
0
0
22 Oct 2024
Online Linear Regression in Dynamic Environments via Discounting
Online Linear Regression in Dynamic Environments via Discounting
Andrew Jacobsen
Ashok Cutkosky
38
5
0
29 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
36
2
0
18 May 2024
Efficient Methods for Non-stationary Online Learning
Efficient Methods for Non-stationary Online Learning
Peng Zhao
Yan-Feng Xie
Lijun Zhang
Zhi-Hua Zhou
44
19
0
16 Sep 2023
Non-stationary Online Convex Optimization with Arbitrary Delays
Non-stationary Online Convex Optimization with Arbitrary Delays
Yuanyu Wan
Chang Yao
Min-Gyoo Song
Lijun Zhang
40
3
0
20 May 2023
Non-stationary Projection-free Online Learning with Dynamic and Adaptive
  Regret Guarantees
Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees
Yibo Wang
Wenhao Yang
Wei Jiang
Shiyin Lu
Bing Wang
Haihong Tang
Yuanyu Wan
Lijun Zhang
17
6
0
19 May 2023
Dynamic Regret Analysis of Safe Distributed Online Optimization for
  Convex and Non-convex Problems
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems
Ting-Jui Chang
Sapana Chaudhary
D. Kalathil
Shahin Shahrampour
21
5
0
23 Feb 2023
Improved Dynamic Regret for Online Frank-Wolfe
Improved Dynamic Regret for Online Frank-Wolfe
Yuanyu Wan
Lijun Zhang
Mingli Song
13
11
0
11 Feb 2023
Exponential Family Trend Filtering on Lattices
Exponential Family Trend Filtering on Lattices
Veeranjaneyulu Sadhanala
R. Bassett
James Sharpnack
D. McDonald
35
3
0
19 Sep 2022
Dynamic Regret of Online Markov Decision Processes
Dynamic Regret of Online Markov Decision Processes
Peng Zhao
Longfei Li
Zhi-Hua Zhou
OffRL
22
17
0
26 Aug 2022
Adapting to Online Label Shift with Provable Guarantees
Adapting to Online Label Shift with Provable Guarantees
Yong Bai
Yu-Jie Zhang
Peng Zhao
Masashi Sugiyama
Zhi-Hua Zhou
OOD
19
25
0
05 Jul 2022
Optimal Dynamic Regret in LQR Control
Optimal Dynamic Regret in LQR Control
Dheeraj Baby
Yu-Xiang Wang
24
16
0
18 Jun 2022
Spatially Adaptive Online Prediction of Piecewise Regular Functions
Spatially Adaptive Online Prediction of Piecewise Regular Functions
S. Chatterjee
Subhajit Goswami
OffRL
16
1
0
30 Mar 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-Xiang Wang
29
25
0
21 Jan 2022
Non-stationary Online Learning with Memory and Non-stochastic Control
Non-stationary Online Learning with Memory and Non-stochastic Control
Peng Zhao
Yu-Hu Yan
Yu-Xiang Wang
Zhi-Hua Zhou
33
47
0
07 Feb 2021
Gradient-Variation Bound for Online Convex Optimization with Constraints
Gradient-Variation Bound for Online Convex Optimization with Constraints
Shuang Qiu
Xiaohan Wei
Mladen Kolar
33
1
0
22 Jun 2020
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive
  Regret of Convex Functions
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
Lijun Zhang
G. Wang
Wei-Wei Tu
Zhi-Hua Zhou
ODL
15
18
0
26 Jun 2019
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