Parameter-free Stochastic Optimization of Variationally Coherent Functions

30 January 2021

Papers citing "Parameter-free Stochastic Optimization of Variationally Coherent Functions"

10 / 10 papers shown

Title
A Finite-Time Analysis of TD Learning with Linear Function Approximation without Projections nor Strong Convexity Wei-Cheng Lee Francesco Orabona 28 0 0 01 Jun 2025
Normalized Gradients for All Francesco Orabona 106 10 0 10 Aug 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
Learning-Rate-Free Learning by D-Adaptation Aaron Defazio Konstantin Mishchenko 95 85 0 18 Jan 2023
Making SGD Parameter-Free Y. Carmon Oliver Hinder 96 47 0 04 May 2022
Implicit Parameter-free Online Learning with Truncated Linear Models Keyi Chen Ashok Cutkosky Francesco Orabona 74 10 0 19 Mar 2022
Parameter-free Mirror Descent Andrew Jacobsen Ashok Cutkosky 109 34 0 26 Feb 2022
Early-stopped neural networks are consistent Ziwei Ji Justin D. Li Matus Telgarsky 82 37 0 10 Jun 2021
Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting K. Chen John Langford Francesco Orabona 75 22 0 12 Jun 2020