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Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online
  Learning with True and Noisy Gradient

Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient

16 May 2016
Tianbao Yang
Lijun Zhang
Rong Jin
Jinfeng Yi
ArXivPDFHTML

Papers citing "Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient"

45 / 45 papers shown
Title
Online Nonconvex Bilevel Optimization with Bregman Divergences
Online Nonconvex Bilevel Optimization with Bregman Divergences
Jason Bohne
David Rosenberg
Gary Kazantsev
Pawel Polak
40
0
0
16 Sep 2024
A Stability Principle for Learning under Non-Stationarity
A Stability Principle for Learning under Non-Stationarity
Chengpiao Huang
Kaizheng Wang
50
2
0
27 Oct 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
47
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
Learning Rate Schedules in the Presence of Distribution Shift
Learning Rate Schedules in the Presence of Distribution Shift
Matthew Fahrbach
Adel Javanmard
Vahab Mirrokni
Pratik Worah
29
6
0
27 Mar 2023
MNL-Bandit in non-stationary environments
MNL-Bandit in non-stationary environments
Ayoub Foussoul
Vineet Goyal
Varun Gupta
34
2
0
04 Mar 2023
Particle-based Online Bayesian Sampling
Particle-based Online Bayesian Sampling
Yifan Yang
Chang-rui Liu
Zhengze Zhang
BDL
27
7
0
28 Feb 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
On Dynamic Regret and Constraint Violations in Constrained Online Convex
  Optimization
On Dynamic Regret and Constraint Violations in Constrained Online Convex Optimization
R. Vaze
22
4
0
24 Jan 2023
Optimistically Tempered Online Learning
Optimistically Tempered Online Learning
Maxime Haddouche
Olivier Wintenberger
Benjamin Guedj
OnRL
28
1
0
18 Jan 2023
Efficient Online Learning with Memory via Frank-Wolfe Optimization:
  Algorithms with Bounded Dynamic Regret and Applications to Control
Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control
Hongyu Zhou
Zirui Xu
Vasileios Tzoumas
81
13
0
02 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
37
25
0
05 Jul 2022
Optimal Dynamic Regret in LQR Control
Optimal Dynamic Regret in LQR Control
Dheeraj Baby
Yu-Xiang Wang
29
16
0
18 Jun 2022
Online PAC-Bayes Learning
Online PAC-Bayes Learning
Maxime Haddouche
Benjamin Guedj
24
21
0
31 May 2022
Random Coordinate Descent for Resource Allocation in Open Multi-Agent
  Systems
Random Coordinate Descent for Resource Allocation in Open Multi-Agent Systems
Charles Monnoyer de Galland
Renato Vizuete
Julien Hendrickx
E. Panteley
P. Frasca
19
10
0
20 May 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
Lijun Zhang
Wei Jiang
Jinfeng Yi
Tianbao Yang
39
6
0
02 May 2022
No-Regret Learning in Time-Varying Zero-Sum Games
No-Regret Learning in Time-Varying Zero-Sum Games
Mengxiao Zhang
Peng Zhao
Haipeng Luo
Zhi-Hua Zhou
33
38
0
30 Jan 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
42
26
0
21 Jan 2022
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
Boxin Zhao
Lingxiao Wang
Mladen Kolar
Ziqi Liu
Qing Cui
Jun Zhou
Chaochao Chen
FedML
41
10
0
28 Dec 2021
Improving Dynamic Regret in Distributed Online Mirror Descent Using
  Primal and Dual Information
Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information
Nima Eshraghi
Ben Liang
65
9
0
07 Dec 2021
Online Continual Adaptation with Active Self-Training
Online Continual Adaptation with Active Self-Training
Shiji Zhou
Han Zhao
Shanghang Zhang
Lianzhe Wang
Heng Chang
Zhi Wang
Wenwu Zhu
CLL
43
10
0
11 Jun 2021
Regret and Cumulative Constraint Violation Analysis for Distributed
  Online Constrained Convex Optimization
Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization
Xinlei Yi
Xiuxian Li
Tao Yang
Lihua Xie
Tianyou Chai
Karl H. Johansson
13
39
0
01 May 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-Xiang Wang
19
12
0
23 Jan 2021
Adaptive Online Estimation of Piecewise Polynomial Trends
Adaptive Online Estimation of Piecewise Polynomial Trends
Dheeraj Baby
Yu-Xiang 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
Dynamic Regret of Policy Optimization in Non-stationary Environments
Dynamic Regret of Policy Optimization in Non-stationary Environments
Yingjie Fei
Zhuoran Yang
Zhaoran Wang
Qiaomin Xie
32
54
0
30 Jun 2020
Gradient-Variation Bound for Online Convex Optimization with Constraints
Gradient-Variation Bound for Online Convex Optimization with Constraints
Shuang Qiu
Xiaohan Wei
Mladen Kolar
46
1
0
22 Jun 2020
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
Mehrdad Khani Shirkoohi
Pouya Hamadanian
Arash Nasr-Esfahany
Mohammad Alizadeh
28
44
0
11 Jun 2020
DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift
DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift
Ashraf Tahmasbi
Ellango Jothimurugesan
Srikanta Tirthapura
Phillip B. Gibbons
26
10
0
13 Mar 2020
Time-varying neural network for stock return prediction
Time-varying neural network for stock return prediction
Steven Y. K. Wong
J. Chan
Lamiae Azizi
R. Xu
AIFin
OOD
13
0
0
05 Mar 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
19
26
0
03 Dec 2019
Adaptive Online Planning for Continual Lifelong Learning
Adaptive Online Planning for Continual Lifelong Learning
Kevin Lu
Igor Mordatch
Pieter Abbeel
OffRL
OnRL
CLL
11
15
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
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
23
18
0
26 Jun 2019
Adaptive Regret of Convex and Smooth Functions
Adaptive Regret of Convex and Smooth Functions
Lijun Zhang
Tie-Yan Liu
Zhi-Hua Zhou
ODL
29
45
0
26 Apr 2019
Distributed Online Convex Optimization with Time-Varying Coupled
  Inequality Constraints
Distributed Online Convex Optimization with Time-Varying Coupled Inequality Constraints
Xinlei Yi
Xiuxian Li
Lihua Xie
Karl H. Johansson
19
152
0
06 Mar 2019
Online Learning with Continuous Variations: Dynamic Regret and
  Reductions
Online Learning with Continuous Variations: Dynamic Regret and Reductions
Ching-An Cheng
Jonathan Lee
Ken Goldberg
Byron Boots
34
16
0
19 Feb 2019
Decentralized Online Learning: Take Benefits from Others' Data without
  Sharing Your Own to Track Global Trend
Decentralized Online Learning: Take Benefits from Others' Data without Sharing Your Own to Track Global Trend
Wendi Wu
Zongren Li
Yawei Zhao
Chenkai Yu
P. Zhao
Ji Liu
FedML
18
16
0
29 Jan 2019
Dynamic Online Gradient Descent with Improved Query Complexity: A
  Theoretical Revisit
Dynamic Online Gradient Descent with Improved Query Complexity: A Theoretical Revisit
Yawei Zhao
En Zhu
Xinwang Liu
Jianping Yin
15
0
0
26 Dec 2018
Distributed Online Optimization in Dynamic Environments Using Mirror
  Descent
Distributed Online Optimization in Dynamic Environments Using Mirror Descent
Shahin Shahrampour
Ali Jadbabaie
17
276
0
09 Sep 2016
Improved Dynamic Regret for Non-degenerate Functions
Improved Dynamic Regret for Non-degenerate Functions
Lijun Zhang
Tianbao Yang
Jinfeng Yi
Jing Rong
Zhi-Hua Zhou
27
127
0
13 Aug 2016
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