Parameter-free Mirror Descent

26 February 2022

Papers citing "Parameter-free Mirror Descent"

24 / 24 papers shown

Title
Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update Jing Wang Yu-Jie Zhang Peng Zhao Zhi-Hua Zhou 53 0 0 01 Mar 2025
An Equivalence Between Static and Dynamic Regret Minimization Andrew Jacobsen Francesco Orabona 39 1 0 03 Jun 2024
Fully Unconstrained Online Learning Ashok Cutkosky Zakaria Mhammedi CLL 27 1 0 30 May 2024
Universal Online Convex Optimization with $1$ Projection per Round Wenhao Yang Yibo Wang Peng Zhao Lijun Zhang 34 2 0 30 May 2024
Online Linear Regression in Dynamic Environments via Discounting Andrew Jacobsen Ashok Cutkosky 40 5 0 29 May 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning Aneesh Muppidi Zhiyu Zhang Heng Yang 34 4 0 26 May 2024
Random Scaling and Momentum for Non-smooth Non-convex Optimization Qinzi Zhang Ashok Cutkosky 40 4 0 16 May 2024
Discounted Adaptive Online Learning: Towards Better Regularization Zhiyu Zhang David Bombara Heng Yang 18 8 0 05 Feb 2024
Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise Kwangjun Ahn Zhiyu Zhang Yunbum Kook Yan Dai 42 11 0 02 Feb 2024
Improving Adaptive Online Learning Using Refined Discretization Zhiyu Zhang Heng Yang Ashok Cutkosky I. Paschalidis 16 5 0 27 Sep 2023
Efficient Methods for Non-stationary Online Learning Peng Zhao Yan-Feng Xie Lijun Zhang Zhi-Hua Zhou 44 19 0 16 Sep 2023
An Oblivious Stochastic Composite Optimization Algorithm for Eigenvalue Optimization Problems Clément Lezane Cristóbal Guzmán Alexandre d’Aspremont 28 0 0 30 Jun 2023
Unconstrained Online Learning with Unbounded Losses Andrew Jacobsen Ashok Cutkosky 32 16 0 08 Jun 2023
Mechanic: A Learning Rate Tuner Ashok Cutkosky Aaron Defazio Harsh Mehta OffRL 19 15 0 31 May 2023
Parameter-free projected gradient descent Evgenii Chzhen Christophe Giraud Gilles Stoltz 22 4 0 31 May 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 39 7 0 31 May 2023
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization Sijia Chen Yu-Jie Zhang Wei-Wei Tu Peng Zhao Lijun Zhang 18 16 0 09 Feb 2023
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule Maor Ivgi Oliver Hinder Y. Carmon ODL 26 56 0 08 Feb 2023
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion Ashok Cutkosky Harsh Mehta Francesco Orabona 35 32 0 07 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding Zhiyu Zhang Ashok Cutkosky I. Paschalidis 34 7 0 31 Jan 2023
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
Optimal Comparator Adaptive Online Learning with Switching Cost Zhiyu Zhang Ashok Cutkosky I. Paschalidis 13 4 0 13 May 2022
Second Order Path Variationals in Non-Stationary Online Learning Dheeraj Baby Yu-Xiang Wang 46 4 0 04 May 2022