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Online Forecasting of Total-Variation-bounded Sequences

Online Forecasting of Total-Variation-bounded Sequences

8 June 2019
Dheeraj Baby
Yu Wang
    AI4TS
ArXivPDFHTML

Papers citing "Online Forecasting of Total-Variation-bounded Sequences"

19 / 19 papers shown
Title
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
49
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
42
6
0
19 May 2023
Revisiting Weighted Strategy for Non-stationary Parametric Bandits
Revisiting Weighted Strategy for Non-stationary Parametric Bandits
Jing Wang
Peng Zhao
Zhihong Zhou
40
5
0
05 Mar 2023
Universal Online Optimization in Dynamic Environments via Uniclass
  Prediction
Universal Online Optimization in Dynamic Environments via Uniclass Prediction
Arnold Salas
34
0
0
13 Feb 2023
Improved Dynamic Regret for Online Frank-Wolfe
Improved Dynamic Regret for Online Frank-Wolfe
Yuanyu Wan
Lijun Zhang
Mingli Song
30
11
0
11 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding
Unconstrained Dynamic Regret via Sparse Coding
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
39
7
0
31 Jan 2023
Optimistically Tempered Online Learning
Optimistically Tempered Online Learning
Maxime Haddouche
Olivier Wintenberger
Benjamin Guedj
OnRL
28
1
0
18 Jan 2023
Dynamic Regret of Online Markov Decision Processes
Dynamic Regret of Online Markov Decision Processes
Peng Zhao
Longfei Li
Zhi-Hua Zhou
OffRL
44
17
0
26 Aug 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating
  Gradient Methods
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
Davoud Ataee Tarzanagh
Parvin Nazari
Bojian Hou
Li Shen
Laura Balzano
53
10
0
06 Jul 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
39
25
0
05 Jul 2022
Optimal Dynamic Regret in LQR Control
Optimal Dynamic Regret in LQR Control
Dheeraj Baby
Yu Wang
29
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
31
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 Wang
42
26
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 Wang
Zhi-Hua Zhou
45
47
0
07 Feb 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
19
12
0
23 Jan 2021
Adaptive Online Estimation of Piecewise Polynomial Trends
Adaptive Online Estimation of Piecewise Polynomial Trends
Dheeraj Baby
Yu Wang
28
13
0
30 Sep 2020
Dynamic Regret of Convex and Smooth Functions
Dynamic Regret of Convex and Smooth Functions
Peng Zhao
Yu-Jie Zhang
Lijun Zhang
Zhi-Hua Zhou
29
101
0
07 Jul 2020
Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point
  Optimization
Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization
Abhishek Roy
Yifang Chen
Krishnakumar Balasubramanian
P. Mohapatra
24
26
0
03 Dec 2019
Bandit Convex Optimization in Non-stationary Environments
Bandit Convex Optimization in Non-stationary Environments
Peng Zhao
G. Wang
Lijun Zhang
Zhi-Hua Zhou
36
41
0
29 Jul 2019
1