Dynamic Regret of Convex and Smooth Functions

7 July 2020

Papers citing "Dynamic Regret of Convex and Smooth Functions"

31 / 31 papers shown

Title
Online Learning and Unlearning Yaxi Hu Bernhard Schölkopf Amartya Sanyal MU OnRL 48 0 0 13 May 2025
On Corruption-Robustness in Performative Reinforcement Learning Vasilis Pollatos Debmalya Mandal Goran Radanović 34 1 0 08 May 2025
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach Dheeraj Baby Boran Han Shuai Zhang Cuixiong Hu Yuyang Wang Yu-Xiang Wang OOD 53 1 0 09 Apr 2025
Online Convex Optimization and Integral Quadratic Constraints: A new approach to regret analysis Fabian Jakob Andrea Iannelli 32 0 0 30 Mar 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts Thomas L. Lee William Toner Rajkarn Singh Artjom Joosem Martin Asenov AI4TS 40 1 0 18 Feb 2025
Online Nonconvex Bilevel Optimization with Bregman Divergences Jason Bohne David Rosenberg Gary Kazantsev Pawel Polak 35 0 0 16 Sep 2024
Online Linear Regression in Dynamic Environments via Discounting Andrew Jacobsen Ashok Cutkosky 46 5 0 29 May 2024
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization M. Pedramfar Vaneet Aggarwal 28 3 0 27 Apr 2024
Efficient Methods for Non-stationary Online Learning Peng Zhao Yan-Feng Xie Lijun Zhang Zhi-Hua Zhou 44 19 0 16 Sep 2023
Unconstrained Online Learning with Unbounded Losses Andrew Jacobsen Ashok Cutkosky 32 16 0 08 Jun 2023
Non-stationary Online Convex Optimization with Arbitrary Delays Yuanyu Wan Chang Yao Min-Gyoo Song Lijun Zhang 42 3 0 20 May 2023
Improved Dynamic Regret for Online Frank-Wolfe Yuanyu Wan Lijun Zhang Mingli Song 17 11 0 11 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding Zhiyu Zhang Ashok Cutkosky I. Paschalidis 34 7 0 31 Jan 2023
Smooth Non-Stationary Bandits S. Jia Qian Xie Nathan Kallus P. Frazier 106 9 0 29 Jan 2023
Optimistically Tempered Online Learning Maxime Haddouche Olivier Wintenberger Benjamin Guedj OnRL 23 1 0 18 Jan 2023
Dynamic Regret of Online Markov Decision Processes Peng Zhao Longfei Li Zhi-Hua Zhou OffRL 34 17 0 26 Aug 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods Davoud Ataee Tarzanagh Parvin Nazari Bojian Hou Li Shen Laura Balzano 49 10 0 06 Jul 2022
Adapting to Online Label Shift with Provable Guarantees Yong Bai Yu-Jie Zhang Peng Zhao Masashi Sugiyama Zhi-Hua Zhou OOD 27 25 0 05 Jul 2022
Optimal Dynamic Regret in LQR Control Dheeraj Baby Yu-Xiang Wang 24 16 0 18 Jun 2022
Open-environment Machine Learning Zhi-Hua Zhou VLM 37 133 0 01 Jun 2022
Online PAC-Bayes Learning Maxime Haddouche Benjamin Guedj 24 21 0 31 May 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor Lijun Zhang Wei Jiang Jinfeng Yi Tianbao Yang 26 6 0 02 May 2022
Parameter-free Mirror Descent Andrew Jacobsen Ashok Cutkosky 20 32 0 26 Feb 2022
Corralling a Larger Band of Bandits: A Case Study on Switching Regret for Linear Bandits Haipeng Luo Mengxiao Zhang Peng Zhao Zhi-Hua Zhou 34 17 0 12 Feb 2022
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 Dheeraj Baby Yu-Xiang Wang 37 25 0 21 Jan 2022
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints Xinlei Yi Xiuxian Li Tao Yang Lihua Xie Tianyou Chai Karl H. Johansson 19 46 0 09 Jun 2021
A Simple Approach for Non-stationary Linear Bandits Peng Zhao Lijun Zhang Yuan Jiang Zhi-Hua Zhou 36 81 0 09 Mar 2021
Non-stationary Online Learning with Memory and Non-stochastic Control Peng Zhao Yu-Hu Yan Yu-Xiang Wang Zhi-Hua Zhou 35 47 0 07 Feb 2021
Gradient-Variation Bound for Online Convex Optimization with Constraints Shuang Qiu Xiaohan Wei Mladen Kolar 41 1 0 22 Jun 2020
Bandit Convex Optimization in Non-stationary Environments Peng Zhao G. Wang Lijun Zhang Zhi-Hua Zhou 28 41 0 29 Jul 2019