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Lipschitz and Comparator-Norm Adaptivity in Online Learning

27 February 2020

Papers citing "Lipschitz and Comparator-Norm Adaptivity in Online Learning"

44 / 44 papers shown

Title
Analysis of an Idealized Stochastic Polyak Method and its Application to Black-Box Model Distillation Robert M. Gower Guillaume Garrigos Nicolas Loizou Dimitris Oikonomou Konstantin Mishchenko Fabian Schaipp 83 1 0 02 Apr 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
Online Linear Regression in Dynamic Environments via Discounting Andrew Jacobsen Ashok Cutkosky 108 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
Dealing with unbounded gradients in stochastic saddle-point optimization Gergely Neu Nneka Okolo 85 5 0 21 Feb 2024
Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model Lin An Andrew A. Li Benjamin Moseley Gabriel Visotsky 44 2 0 21 Feb 2024
The Price of Adaptivity in Stochastic Convex Optimization Y. Carmon Oliver Hinder 85 7 0 16 Feb 2024
Tuning-Free Stochastic Optimization Ahmed Khaled Chi Jin 62 9 0 12 Feb 2024
How Free is Parameter-Free Stochastic Optimization? Amit Attia Tomer Koren ODL 99 8 0 05 Feb 2024
Discounted Adaptive Online Learning: Towards Better Regularization Zhiyu Zhang David Bombara Heng Yang 64 9 0 05 Feb 2024
A simple uniformly optimal method without line search for convex optimization Tianjiao Li Guanghui Lan 107 25 0 16 Oct 2023
Improving Adaptive Online Learning Using Refined Discretization Zhiyu Zhang Heng Yang Ashok Cutkosky I. Paschalidis 62 6 0 27 Sep 2023
Normalized Gradients for All Francesco Orabona 108 10 0 10 Aug 2023
Unconstrained Online Learning with Unbounded Losses Andrew Jacobsen Ashok Cutkosky 78 18 0 08 Jun 2023
Mechanic: A Learning Rate Tuner Ashok Cutkosky Aaron Defazio Harsh Mehta OffRL 127 18 0 31 May 2023
Parameter-free projected gradient descent Evgenii Chzhen Christophe Giraud Gilles Stoltz 68 4 0 31 May 2023
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method Ahmed Khaled Konstantin Mishchenko Chi Jin ODL 86 28 0 25 May 2023
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance Amit Attia Tomer Koren ODL 88 26 0 17 Feb 2023
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule Maor Ivgi Oliver Hinder Y. Carmon ODL 157 66 0 08 Feb 2023
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion Ashok Cutkosky Harsh Mehta Francesco Orabona 105 34 0 07 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding Zhiyu Zhang Ashok Cutkosky I. Paschalidis 139 9 0 31 Jan 2023
Quasi-Newton Steps for Efficient Online Exp-Concave Optimization Zakaria Mhammedi Khashayar Gatmiry 57 7 0 02 Nov 2022
Parameter-free Regret in High Probability with Heavy Tails Jiujia Zhang Ashok Cutkosky 75 20 0 25 Oct 2022
Differentially Private Online-to-Batch for Smooth Losses Qinzi Zhang Hoang Tran Ashok Cutkosky FedML 79 5 0 12 Oct 2022
Exploiting the Curvature of Feasible Sets for Faster Projection-Free Online Learning Zakaria Mhammedi 103 9 0 23 May 2022
Optimal Comparator Adaptive Online Learning with Switching Cost Zhiyu Zhang Ashok Cutkosky I. Paschalidis 63 4 0 13 May 2022
Making SGD Parameter-Free Y. Carmon Oliver Hinder 98 47 0 04 May 2022
Projection-free Online Learning with Arbitrary Delays Yuanyu Wan Yibo Wang Chang Yao Wei-Wei Tu Lijun Zhang 91 2 0 11 Apr 2022
Implicit Parameter-free Online Learning with Truncated Linear Models Keyi Chen Ashok Cutkosky Francesco Orabona 80 10 0 19 Mar 2022
Parameter-free Mirror Descent Andrew Jacobsen Ashok Cutkosky 117 34 0 26 Feb 2022
Scale-free Unconstrained Online Learning for Curved Losses J. Mayo Hédi Hadiji T. Erven 82 13 0 11 Feb 2022
PDE-Based Optimal Strategy for Unconstrained Online Learning Zhiyu Zhang Ashok Cutkosky I. Paschalidis 100 27 0 19 Jan 2022
Isotuning With Applications To Scale-Free Online Learning Laurent Orseau Marcus Hutter 76 6 0 29 Dec 2021
Logarithmic Regret from Sublinear Hints Aditya Bhaskara Ashok Cutkosky Ravi Kumar Manish Purohit 92 19 0 09 Nov 2021
Tight Concentrations and Confidence Sequences from the Regret of Universal Portfolio Francesco Orabona Kwang-Sung Jun 118 42 0 27 Oct 2021
Parameter-free Gradient Temporal Difference Learning Andrew Jacobsen Alan Chan OffRL 62 2 0 10 May 2021
Distributed Online Learning for Joint Regret with Communication Constraints Dirk van der Hoeven Hédi Hadiji T. Erven 64 5 0 15 Feb 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning T. Erven Wouter M. Koolen Dirk van der Hoeven ODL 107 23 0 12 Feb 2021
Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory Zhiyu Zhang Ashok Cutkosky I. Paschalidis 94 15 0 02 Feb 2021
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications Liyu Chen Haipeng Luo Chen-Yu Wei 115 45 0 01 Feb 2021
Risk-Monotonicity in Statistical Learning Zakaria Mhammedi 134 8 0 28 Nov 2020
Online Linear Optimization with Many Hints Aditya Bhaskara Ashok Cutkosky Ravi Kumar Manish Purohit 147 18 0 06 Oct 2020
Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting K. Chen John Langford Francesco Orabona 89 22 0 12 Jun 2020