Adaptive scale-invariant online algorithms for learning linear models

20 February 2019

Papers citing "Adaptive scale-invariant online algorithms for learning linear models"

15 / 15 papers shown

Title
The Sample Complexity of Parameter-Free Stochastic Convex Optimization Jared Lawrence Ari Kalinsky Hannah Bradfield Y. Carmon Oliver Hinder 28 0 0 12 Jun 2025
Online Linear Regression in Dynamic Environments via Discounting Andrew Jacobsen Ashok Cutkosky 108 6 0 29 May 2024
Mechanic: A Learning Rate Tuner Ashok Cutkosky Aaron Defazio Harsh Mehta OffRL 127 18 0 31 May 2023
Parameter-free Regret in High Probability with Heavy Tails Jiujia Zhang Ashok Cutkosky 75 20 0 25 Oct 2022
Optimistic Optimisation of Composite Objective with Exponentiated Update Weijia Shao F. Sivrikaya S. Albayrak 111 3 0 08 Aug 2022
Making SGD Parameter-Free Y. Carmon Oliver Hinder 98 47 0 04 May 2022
Implicit Parameter-free Online Learning with Truncated Linear Models Keyi Chen Ashok Cutkosky Francesco Orabona 80 10 0 19 Mar 2022
Scale-free Unconstrained Online Learning for Curved Losses J. Mayo Hédi Hadiji T. Erven 82 13 0 11 Feb 2022
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
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
Lipschitz and Comparator-Norm Adaptivity in Online Learning Zakaria Mhammedi Wouter M. Koolen 93 57 0 27 Feb 2020
Online Learning with Imperfect Hints Aditya Bhaskara Ashok Cutkosky Ravi Kumar Manish Purohit 121 58 0 11 Feb 2020
Adaptive Online Learning with Varying Norms Ashok Cutkosky 40 0 0 10 Feb 2020
Matrix-Free Preconditioning in Online Learning Ashok Cutkosky Tamás Sarlós ODL 96 16 0 29 May 2019