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Dynamic Regret of Convex and Smooth Functions

Dynamic Regret of Convex and Smooth Functions

7 July 2020
Peng Zhao
Yu Zhang
Lijun Zhang
Zhi Zhou
ArXivPDFHTML

Papers citing "Dynamic Regret of Convex and Smooth Functions"

18 / 18 papers shown
Title
On Corruption-Robustness in Performative Reinforcement Learning
On Corruption-Robustness in Performative Reinforcement Learning
Vasilis Pollatos
Debmalya Mandal
Goran Radanović
113
2
0
08 May 2025
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 Wang
OOD
76
1
0
09 Apr 2025
Online Convex Optimization and Integral Quadratic Constraints: A new approach to regret analysis
Online Convex Optimization and Integral Quadratic Constraints: A new approach to regret analysis
Fabian Jakob
Andrea Iannelli
134
0
0
30 Mar 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Lightweight Online Adaption for Time Series Foundation Model Forecasts
Thomas L. Lee
William Toner
Rajkarn Singh
Artjom Joosem
Martin Asenov
AI4TS
73
1
0
18 Feb 2025
Efficient Methods for Non-stationary Online Learning
Efficient Methods for Non-stationary Online Learning
Peng Zhao
Yan-Feng Xie
Lijun Zhang
Zhi Zhou
73
20
0
16 Sep 2023
Introduction to Online Convex Optimization
Introduction to Online Convex Optimization
Elad Hazan
OffRL
102
1,922
0
07 Sep 2019
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond
Jianjun Yuan
Andrew G. Lamperski
34
24
0
06 Sep 2019
Bandit Convex Optimization in Non-stationary Environments
Bandit Convex Optimization in Non-stationary Environments
Peng Zhao
G. Wang
Lijun Zhang
Zhi Zhou
65
43
0
29 Jul 2019
Online Forecasting of Total-Variation-bounded Sequences
Online Forecasting of Total-Variation-bounded Sequences
Dheeraj Baby
Yu Wang
AI4TS
29
39
0
08 Jun 2019
Adaptive Online Learning in Dynamic Environments
Adaptive Online Learning in Dynamic Environments
Lijun Zhang
Shiyin Lu
Zhi Zhou
38
182
0
25 Oct 2018
Improved Dynamic Regret for Non-degenerate Functions
Improved Dynamic Regret for Non-degenerate Functions
Lijun Zhang
Tianbao Yang
Jinfeng Yi
Jing Rong
Zhi Zhou
178
127
0
13 Aug 2016
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
Tianbao Yang
Lijun Zhang
Rong Jin
Jinfeng Yi
45
155
0
16 May 2016
MetaGrad: Multiple Learning Rates in Online Learning
MetaGrad: Multiple Learning Rates in Online Learning
T. Erven
Wouter M. Koolen
ODL
57
97
0
29 Apr 2016
Fast Convergence of Regularized Learning in Games
Fast Convergence of Regularized Learning in Games
Vasilis Syrgkanis
Alekh Agarwal
Haipeng Luo
Robert Schapire
50
253
0
02 Jul 2015
A Second-order Bound with Excess Losses
A Second-order Bound with Excess Losses
Pierre Gaillard
Gilles Stoltz
T. Erven
50
152
0
10 Feb 2014
Non-stationary Stochastic Optimization
Non-stationary Stochastic Optimization
Omar Besbes
Y. Gur
A. Zeevi
125
430
0
20 Jul 2013
Online Learning with Predictable Sequences
Online Learning with Predictable Sequences
Alexander Rakhlin
Karthik Sridharan
131
355
0
18 Aug 2012
Optimistic Rates for Learning with a Smooth Loss
Optimistic Rates for Learning with a Smooth Loss
Nathan Srebro
Karthik Sridharan
Ambuj Tewari
150
282
0
20 Sep 2010
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