Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond

21 January 2022

Papers citing "Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond"

23 / 23 papers shown

Title
Lower Bounds for Time-Varying Kernelized Bandits Xu Cai Jonathan Scarlett 36 0 0 22 Oct 2024
Tracking solutions of time-varying variational inequalities Hédi Hadiji Sarah Sachs Cristóbal Guzmán 43 1 0 20 Jun 2024
Online Linear Regression in Dynamic Environments via Discounting Andrew Jacobsen Ashok Cutkosky 36 5 0 29 May 2024
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation Ruihan Wu Siddhartha Datta Yi Su Dheeraj Baby Yu-Xiang Wang Kilian Q. Weinberger 24 1 0 05 Feb 2024
Discounted Adaptive Online Learning: Towards Better Regularization Zhiyu Zhang David Bombara Heng Yang 16 8 0 05 Feb 2024
Adaptive Regret for Bandits Made Possible: Two Queries Suffice Zhou Lu Qiuyi Zhang Xinyi Chen Fred Zhang David P. Woodruff Elad Hazan 11 0 0 17 Jan 2024
A Stability Principle for Learning under Non-Stationarity Chengpiao Huang Kaizheng Wang 24 2 0 27 Oct 2023
Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback Michael I. Jordan Tianyi Lin Zhengyuan Zhou 13 1 0 21 Oct 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms Dheeraj Baby Saurabh Garg Tzu-Ching Yen Sivaraman Balakrishnan Zachary Chase Lipton Yu-Xiang Wang 31 7 0 31 May 2023
Non-stationary Online Convex Optimization with Arbitrary Delays Yuanyu Wan Chang Yao Min-Gyoo Song Lijun Zhang 40 3 0 20 May 2023
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 15 6 0 19 May 2023
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems Ting-Jui Chang Sapana Chaudhary D. Kalathil Shahin Shahrampour 13 5 0 23 Feb 2023
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion Ashok Cutkosky Harsh Mehta Francesco Orabona 33 32 0 07 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding Zhiyu Zhang Ashok Cutkosky I. Paschalidis 16 7 0 31 Jan 2023
Optimistically Tempered Online Learning Maxime Haddouche Olivier Wintenberger Benjamin Guedj OnRL 6 1 0 18 Jan 2023
On Adaptivity in Non-stationary Stochastic Optimization With Bandit Feedback Yining Wang 28 2 0 11 Oct 2022
Dynamic Regret of Online Markov Decision Processes Peng Zhao Longfei Li Zhi-Hua Zhou OffRL 22 17 0 26 Aug 2022
On the Computational Efficiency of Adaptive and Dynamic Regret Minimization Zhou Lu Elad Hazan 14 3 0 01 Jul 2022
Optimal Dynamic Regret in LQR Control Dheeraj Baby Yu-Xiang Wang 22 16 0 18 Jun 2022
Second Order Path Variationals in Non-Stationary Online Learning Dheeraj Baby Yu-Xiang Wang 36 4 0 04 May 2022
Optimal Dynamic Regret in Exp-Concave Online Learning Dheeraj Baby Yu-Xiang Wang 37 43 0 23 Apr 2021
Non-stationary Online Learning with Memory and Non-stochastic Control Peng Zhao Yu-Hu Yan Yu-Xiang Wang Zhi-Hua Zhou 27 47 0 07 Feb 2021
Gradient-Variation Bound for Online Convex Optimization with Constraints Shuang Qiu Xiaohan Wei Mladen Kolar 33 1 0 22 Jun 2020