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Online Forecasting of Total-Variation-bounded Sequences
v1v2 (latest)

Online Forecasting of Total-Variation-bounded Sequences

8 June 2019
Dheeraj Baby
Yu Wang
    AI4TS
ArXiv (abs)PDFHTML

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

33 / 33 papers shown
Title
Adaptive Estimation and Learning under Temporal Distribution Shift
Adaptive Estimation and Learning under Temporal Distribution Shift
Dheeraj Baby
Yifei Tang
Hieu Duy Nguyen
Yu Wang
Rohit Pyati
OODAI4TS
72
0
0
21 May 2025
An Equivalence Between Static and Dynamic Regret Minimization
An Equivalence Between Static and Dynamic Regret Minimization
Andrew Jacobsen
Francesco Orabona
102
4
0
03 Jun 2024
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
Dheeraj Baby
Saurabh Garg
Tzu-Ching Yen
Sivaraman Balakrishnan
Zachary Chase Lipton
Yu Wang
71
8
0
31 May 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
96
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
116
7
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
47
6
0
05 Mar 2023
Universal Online Optimization in Dynamic Environments via Uniclass
  Prediction
Universal Online Optimization in Dynamic Environments via Uniclass Prediction
Arnold Salas
75
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
89
11
0
11 Feb 2023
Adapting to Continuous Covariate Shift via Online Density Ratio
  Estimation
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
Yu Zhang
Zhenyu Zhang
Peng Zhao
Masashi Sugiyama
OOD
83
13
0
06 Feb 2023
Nonparametric Density Estimation under Distribution Drift
Nonparametric Density Estimation under Distribution Drift
Alessio Mazzetto
E. Upfal
77
3
0
05 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding
Unconstrained Dynamic Regret via Sparse Coding
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
139
9
0
31 Jan 2023
Optimistically Tempered Online Learning
Optimistically Tempered Online Learning
Maxime Haddouche
Olivier Wintenberger
Benjamin Guedj
OnRL
78
1
0
18 Jan 2023
Functional estimation and change detection for nonstationary time series
Functional estimation and change detection for nonstationary time series
Fabian Mies
20
7
0
01 Dec 2022
Dynamic Regret of Online Markov Decision Processes
Dynamic Regret of Online Markov Decision Processes
Peng Zhao
Longfei Li
Zhi Zhou
OffRL
101
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
148
12
0
06 Jul 2022
Adapting to Online Label Shift with Provable Guarantees
Adapting to Online Label Shift with Provable Guarantees
Yong Bai
Yu Zhang
Peng Zhao
Masashi Sugiyama
Zhi Zhou
OOD
91
27
0
05 Jul 2022
Optimal Dynamic Regret in LQR Control
Optimal Dynamic Regret in LQR Control
Dheeraj Baby
Yu Wang
67
17
0
18 Jun 2022
Second Order Path Variationals in Non-Stationary Online Learning
Second Order Path Variationals in Non-Stationary Online Learning
Dheeraj Baby
Yu Wang
113
5
0
04 May 2022
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs
  Locally Adaptive?
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?
Kaiqi Zhang
Yu Wang
118
12
0
20 Apr 2022
Spatially Adaptive Online Prediction of Piecewise Regular Functions
Spatially Adaptive Online Prediction of Piecewise Regular Functions
S. Chatterjee
Subhajit Goswami
OffRL
70
1
0
30 Mar 2022
Optimal Online Generalized Linear Regression with Stochastic Noise and
  Its Application to Heteroscedastic Bandits
Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits
Heyang Zhao
Dongruo Zhou
Jiafan He
Quanquan Gu
115
2
0
28 Feb 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
120
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
109
46
0
23 Apr 2021
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 Zhou
77
48
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
92
12
0
23 Jan 2021
Non-stationary Online Regression
Non-stationary Online Regression
Anant Raj
Pierre Gaillard
Christophe Saad
AI4TS
73
7
0
13 Nov 2020
Adaptive Online Estimation of Piecewise Polynomial Trends
Adaptive Online Estimation of Piecewise Polynomial Trends
Dheeraj Baby
Yu Wang
75
13
0
30 Sep 2020
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
Temporal Variability in Implicit Online Learning
Temporal Variability in Implicit Online Learning
Nicolò Campolongo
Francesco Orabona
94
27
0
12 Jun 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
92
25
0
03 Dec 2019
Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex
  Optimization
Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization
Abhishek Roy
Krishnakumar Balasubramanian
Saeed Ghadimi
P. Mohapatra
OffRL
69
15
0
31 Jul 2019
Bandit Convex Optimization in Non-stationary Environments
Bandit Convex Optimization in Non-stationary Environments
Peng Zhao
G. Wang
Lijun Zhang
Zhi Zhou
112
44
0
29 Jul 2019
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