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Parameter-free Mirror Descent

26 February 2022

Papers citing "Parameter-free Mirror Descent"

26 / 26 papers shown

Title
$Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$-Smooth Nonconvex Optimization$ Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$ -Smooth Nonconvex Optimization Xinyu Luo Cedar Site Bai Bolian Li Petros Drineas Ruqi Zhang Brian Bullins 38 0 0 07 Jun 2025
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning N. Mhaisen George Iosifidis 34 0 0 28 May 2025
Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update Jing Wang Yu Zhang Peng Zhao Zhi Zhou 75 1 0 01 Mar 2025
An Equivalence Between Static and Dynamic Regret Minimization Andrew Jacobsen Francesco Orabona 102 4 0 03 Jun 2024
Fully Unconstrained Online Learning Ashok Cutkosky Zakaria Mhammedi CLL 74 2 0 30 May 2024
Universal Online Convex Optimization with $1$ Projection per Round Wenhao Yang Yibo Wang Peng Zhao Lijun Zhang 76 4 0 30 May 2024
Online Linear Regression in Dynamic Environments via Discounting Andrew Jacobsen Ashok Cutkosky 112 6 0 29 May 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning Aneesh Muppidi Zhiyu Zhang Heng Yang 78 6 0 26 May 2024
Random Scaling and Momentum for Non-smooth Non-convex Optimization Qinzi Zhang Ashok Cutkosky 67 4 0 16 May 2024
Discounted Adaptive Online Learning: Towards Better Regularization Zhiyu Zhang David Bombara Heng Yang 69 9 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 111 14 0 02 Feb 2024
Improving Adaptive Online Learning Using Refined Discretization Zhiyu Zhang Heng Yang Ashok Cutkosky I. Paschalidis 66 6 0 27 Sep 2023
Efficient Methods for Non-stationary Online Learning Peng Zhao Yan-Feng Xie Lijun Zhang Zhi Zhou 126 22 0 16 Sep 2023
An Oblivious Stochastic Composite Optimization Algorithm for Eigenvalue Optimization Problems Clément Lezane Cristóbal Guzmán Alexandre d’Aspremont 66 0 0 30 Jun 2023
Unconstrained Online Learning with Unbounded Losses Andrew Jacobsen Ashok Cutkosky 85 18 0 08 Jun 2023
Mechanic: A Learning Rate Tuner Ashok Cutkosky Aaron Defazio Harsh Mehta OffRL 138 18 0 31 May 2023
Parameter-free projected gradient descent Evgenii Chzhen Christophe Giraud Gilles Stoltz 68 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 Wang 75 8 0 31 May 2023
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization Sijia Chen Yu Zhang Wei-Wei Tu Peng Zhao Lijun Zhang 99 18 0 09 Feb 2023
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule Maor Ivgi Oliver Hinder Y. Carmon ODL 159 66 0 08 Feb 2023
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion Ashok Cutkosky Harsh Mehta Francesco Orabona 109 34 0 07 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding Zhiyu Zhang Ashok Cutkosky I. Paschalidis 159 9 0 31 Jan 2023
Adapting to Online Label Shift with Provable Guarantees Yong Bai Yu Zhang Peng Zhao Masashi Sugiyama Zhi Zhou OOD 99 27 0 05 Jul 2022
Optimal Dynamic Regret in LQR Control Dheeraj Baby Yu Wang 67 17 0 18 Jun 2022
Optimal Comparator Adaptive Online Learning with Switching Cost Zhiyu Zhang Ashok Cutkosky I. Paschalidis 79 4 0 13 May 2022
Second Order Path Variationals in Non-Stationary Online Learning Dheeraj Baby Yu Wang 123 5 0 04 May 2022