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Dynamic Regret of Convex and Smooth Functions
v1v2 (latest)

Dynamic Regret of Convex and Smooth Functions

7 July 2020
Peng Zhao
Yu Zhang
Lijun Zhang
Zhi Zhou
ArXiv (abs)PDFHTML

Papers citing "Dynamic Regret of Convex and Smooth Functions"

50 / 73 papers shown
Distributed Dynamic Associative Memory via Online Convex Optimization
Distributed Dynamic Associative Memory via Online Convex Optimization
Bowen Wang
Matteo Zecchin
Osvaldo Simeone
230
0
0
28 Nov 2025
Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness
Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness
Yuheng Zhao
Yu-Hu Yan
Kfir Yehuda Levy
Peng Zhao
ODL
326
4
0
04 Nov 2025
Blind Construction of Angular Power Maps in Massive MIMO Networks
Blind Construction of Angular Power Maps in Massive MIMO NetworksIEEE Transactions on Signal Processing (IEEE TSP), 2025
Zheng Xing
Junting Chen
123
0
0
08 Oct 2025
Parameter-free Algorithms for the Stochastically Extended Adversarial Model
Parameter-free Algorithms for the Stochastically Extended Adversarial Model
Shuche Wang
Adarsh Barik
Peng Zhao
Vincent Y. F. Tan
AAML
201
0
0
06 Oct 2025
Universal Dynamic Regret and Constraint Violation Bounds for Constrained Online Convex Optimization
Universal Dynamic Regret and Constraint Violation Bounds for Constrained Online Convex Optimization
Subhamon Supantha
Abhishek Sinha
160
1
0
02 Oct 2025
A Modular Algorithm for Non-Stationary Online Convex-Concave Optimization
A Modular Algorithm for Non-Stationary Online Convex-Concave Optimization
Qing-xin Meng
Xia Lei
Jian-wei Liu
120
1
0
09 Sep 2025
Smoothed Online Optimization for Target Tracking: Robust and Learning-Augmented Algorithms
Smoothed Online Optimization for Target Tracking: Robust and Learning-Augmented Algorithms
Ali Zeynali
Mahsa Sahebdel
Qingsong Liu
Mohammad Hajiesmaili
R. Sitaraman
AAML
153
0
0
07 Sep 2025
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
Yu Zhang
Peng Zhao
Masashi Sugiyama
363
2
0
12 Jun 2025
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
N. Mhaisen
George Iosifidis
297
2
0
28 May 2025
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
263
0
0
21 May 2025
Online Learning and Unlearning
Online Learning and Unlearning
Yaxi Hu
Bernhard Schölkopf
Amartya Sanyal
MUOnRL
307
1
0
13 May 2025
On Corruption-Robustness in Performative Reinforcement Learning
On Corruption-Robustness in Performative Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2025
Vasilis Pollatos
Debmalya Mandal
Goran Radanović
428
6
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 ApproachInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Dheeraj Baby
Boran Han
Shuai Zhang
Cuixiong Hu
Yuyang Wang
Yu Wang
OOD
281
2
0
09 Apr 2025
Online Convex Optimization and Integral Quadratic Constraints: An automated approach to regret analysis
Online Convex Optimization and Integral Quadratic Constraints: An automated approach to regret analysis
Fabian Jakob
Andrea Iannelli
347
4
0
30 Mar 2025
A Curationary Tale: Logarithmic Regret in DeFi Lending via Dynamic Pricing
A Curationary Tale: Logarithmic Regret in DeFi Lending via Dynamic Pricing
Tarun Chitra
315
2
0
23 Mar 2025
Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update
Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update
Jing Wang
Yu Zhang
Peng Zhao
Zhi Zhou
404
4
0
01 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
632
6
0
18 Feb 2025
Online Nonconvex Bilevel Optimization with Bregman Divergences
Online Nonconvex Bilevel Optimization with Bregman Divergences
Jason Bohne
David Rosenberg
Gary Kazantsev
Pawel Polak
221
1
0
16 Sep 2024
Reciprocal Learning
Reciprocal LearningNeural Information Processing Systems (NeurIPS), 2024
Julian Rodemann
Christoph Jansen
G. Schollmeyer
FedML
327
0
0
12 Aug 2024
Online Non-Stationary Stochastic Quasar-Convex Optimization
Online Non-Stationary Stochastic Quasar-Convex Optimization
Yuen-Man Pun
Iman Shames
212
2
0
04 Jul 2024
Reevaluating Theoretical Analysis Methods for Optimization in Deep Learning
Reevaluating Theoretical Analysis Methods for Optimization in Deep Learning
Hoang Tran
Qinzi Zhang
Ashok Cutkosky
408
4
0
01 Jul 2024
Universal Online Convex Optimization with $1$ Projection per Round
Universal Online Convex Optimization with 111 Projection per Round
Wenhao Yang
Yibo Wang
Peng Zhao
Lijun Zhang
306
7
0
30 May 2024
Online Linear Regression in Dynamic Environments via Discounting
Online Linear Regression in Dynamic Environments via Discounting
Andrew Jacobsen
Ashok Cutkosky
361
12
0
29 May 2024
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
A CMDP-within-online framework for Meta-Safe Reinforcement Learning
Vanshaj Khattar
Yuhao Ding
Bilgehan Sel
Javad Lavaei
Ming Jin
OffRL
278
23
0
26 May 2024
From Linear to Linearizable Optimization: A Novel Framework with
  Applications to Stationary and Non-stationary DR-submodular Optimization
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
M. Pedramfar
Vaneet Aggarwal
350
7
0
27 Apr 2024
Discounted Adaptive Online Learning: Towards Better Regularization
Discounted Adaptive Online Learning: Towards Better Regularization
Zhiyu Zhang
David Bombara
Heng Yang
315
12
0
05 Feb 2024
Adaptive Regret for Bandits Made Possible: Two Queries Suffice
Adaptive Regret for Bandits Made Possible: Two Queries SufficeInternational Conference on Learning Representations (ICLR), 2024
Zhou Lu
Qiuyi Zhang
Xinyi Chen
Fred Zhang
David P. Woodruff
Elad Hazan
222
0
0
17 Jan 2024
Efficient Methods for Non-stationary Online Learning
Efficient Methods for Non-stationary Online LearningNeural Information Processing Systems (NeurIPS), 2023
Peng Zhao
Yan-Feng Xie
Lijun Zhang
Zhi Zhou
421
35
0
16 Sep 2023
Online Submodular Maximization via Online Convex Optimization
Online Submodular Maximization via Online Convex OptimizationAAAI Conference on Artificial Intelligence (AAAI), 2023
T. Si Salem
Gözde Özcan
Iasonas Nikolaou
Evimaria Terzi
Stratis Ioannidis
415
8
0
08 Sep 2023
Universal Online Learning with Gradient Variations: A Multi-layer Online
  Ensemble Approach
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble ApproachNeural Information Processing Systems (NeurIPS), 2023
Yu-Hu Yan
Peng Zhao
Zhiguang Zhou
480
14
0
17 Jul 2023
Unconstrained Online Learning with Unbounded Losses
Unconstrained Online Learning with Unbounded LossesInternational Conference on Machine Learning (ICML), 2023
Andrew Jacobsen
Ashok Cutkosky
341
21
0
08 Jun 2023
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth
  Convex Optimization
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex OptimizationNeural Information Processing Systems (NeurIPS), 2023
Ruichen Jiang
Aryan Mokhtari
138
12
0
03 Jun 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
Online Label Shift: Optimal Dynamic Regret meets Practical AlgorithmsNeural Information Processing Systems (NeurIPS), 2023
Dheeraj Baby
Saurabh Garg
Tzu-Ching Yen
Sivaraman Balakrishnan
Zachary Chase Lipton
Yu Wang
291
15
0
31 May 2023
Non-stationary Delayed Online Convex Optimization: From Full-information to Bandit Setting
Non-stationary Delayed Online Convex Optimization: From Full-information to Bandit SettingInternational Conference on Machine Learning (ICML), 2023
Yuanyu Wan
Chang Yao
Min-Gyoo Song
Mingli Song
Lijun Zhang
548
9
0
20 May 2023
Minimizing Dynamic Regret on Geodesic Metric Spaces
Minimizing Dynamic Regret on Geodesic Metric SpacesAnnual Conference Computational Learning Theory (COLT), 2023
Zihao Hu
Guanghui Wang
Jacob D. Abernethy
275
9
0
17 Feb 2023
Improved Dynamic Regret for Online Frank-Wolfe
Improved Dynamic Regret for Online Frank-WolfeAnnual Conference Computational Learning Theory (COLT), 2023
Yuanyu Wan
Lijun Zhang
Weilong Dai
378
14
0
11 Feb 2023
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial
  Online Convex Optimization
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex OptimizationInternational Conference on Machine Learning (ICML), 2023
Sijia Chen
Yu Zhang
Wei-Wei Tu
Peng Zhao
Lijun Zhang
335
31
0
09 Feb 2023
Adapting to Continuous Covariate Shift via Online Density Ratio
  Estimation
Adapting to Continuous Covariate Shift via Online Density Ratio EstimationNeural Information Processing Systems (NeurIPS), 2023
Yu Zhang
Zhenyu Zhang
Peng Zhao
Masashi Sugiyama
OOD
391
18
0
06 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding
Unconstrained Dynamic Regret via Sparse CodingNeural Information Processing Systems (NeurIPS), 2023
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
504
12
0
31 Jan 2023
Smooth Non-Stationary Bandits
Smooth Non-Stationary BanditsInternational Conference on Machine Learning (ICML), 2023
S. Jia
Qian Xie
Nathan Kallus
P. Frazier
382
13
0
29 Jan 2023
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games
On the Convergence of No-Regret Learning Dynamics in Time-Varying GamesNeural Information Processing Systems (NeurIPS), 2023
Ioannis Anagnostides
Ioannis Panageas
Gabriele Farina
Tuomas Sandholm
442
25
0
26 Jan 2023
Online (Non-)Convex Learning via Tempered Optimism
Online (Non-)Convex Learning via Tempered Optimism
Maxime Haddouche
Olivier Wintenberger
Benjamin Guedj
OnRL
387
1
0
18 Jan 2023
One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret
  Guarantees in Sleeping Bandits
One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping BanditsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Pierre Gaillard
Aadirupa Saha
Soham Dan
226
4
0
26 Oct 2022
Adaptive Oracle-Efficient Online Learning
Adaptive Oracle-Efficient Online LearningNeural Information Processing Systems (NeurIPS), 2022
Guanghui Wang
Zihao Hu
Vidya Muthukumar
Jacob D. Abernethy
198
6
0
17 Oct 2022
On Accelerated Perceptrons and Beyond
On Accelerated Perceptrons and BeyondInternational Conference on Learning Representations (ICLR), 2022
Guanghui Wang
Rafael Hanashiro
E. Guha
Jacob D. Abernethy
340
8
0
17 Oct 2022
On Adaptivity in Non-stationary Stochastic Optimization With Bandit
  Feedback
On Adaptivity in Non-stationary Stochastic Optimization With Bandit Feedback
Yining Wang
189
7
0
11 Oct 2022
Dynamic Regret of Online Markov Decision Processes
Dynamic Regret of Online Markov Decision ProcessesInternational Conference on Machine Learning (ICML), 2022
Peng Zhao
Longfei Li
Zhi Zhou
OffRL
262
20
0
26 Aug 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating
  Gradient Methods
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient MethodsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Davoud Ataee Tarzanagh
Parvin Nazari
Bojian Hou
Li Shen
Laura Balzano
624
15
0
06 Jul 2022
Adapting to Online Label Shift with Provable Guarantees
Adapting to Online Label Shift with Provable GuaranteesNeural Information Processing Systems (NeurIPS), 2022
Yong Bai
Yu Zhang
Peng Zhao
Masashi Sugiyama
Zhi Zhou
OOD
408
41
0
05 Jul 2022
On the Computational Efficiency of Adaptive and Dynamic Regret
  Minimization
On the Computational Efficiency of Adaptive and Dynamic Regret Minimization
Zhou Lu
Elad Hazan
464
4
0
01 Jul 2022
12
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