Parameter-free projected gradient descent

31 May 2023

Papers citing "Parameter-free projected gradient descent"

13 / 13 papers shown

Title
Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python Romain Edmond Lacoste GP 96 1 0 26 Feb 2025
Learning-Rate-Free Learning by D-Adaptation Aaron Defazio Konstantin Mishchenko 69 85 0 18 Jan 2023
Parameter-free Mirror Descent Andrew Jacobsen Ashok Cutkosky 80 34 0 26 Feb 2022
PDE-Based Optimal Strategy for Unconstrained Online Learning Zhiyu Zhang Ashok Cutkosky I. Paschalidis 78 27 0 19 Jan 2022
Parameter-free Stochastic Optimization of Variationally Coherent Functions Francesco Orabona Dávid Pál 72 19 0 30 Jan 2021
Lipschitz and Comparator-Norm Adaptivity in Online Learning Zakaria Mhammedi Wouter M. Koolen 66 57 0 27 Feb 2020
Black-Box Reductions for Parameter-free Online Learning in Banach Spaces Ashok Cutkosky Francesco Orabona 83 148 0 17 Feb 2018
Online Learning Without Prior Information Ashok Cutkosky K. Boahen ODL 45 74 0 07 Mar 2017
Coin Betting and Parameter-Free Online Learning Francesco Orabona D. Pál 164 166 0 12 Feb 2016
Linear Contextual Bandits with Knapsacks Shipra Agrawal Nikhil R. Devanur 161 144 0 24 Jul 2015
Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations H. B. McMahan Francesco Orabona 140 79 0 03 Mar 2014
No-Regret Algorithms for Unconstrained Online Convex Optimization Matthew J. Streeter H. B. McMahan ODL 80 90 0 09 Nov 2012
Less Regret via Online Conditioning Matthew J. Streeter H. B. McMahan ODL 96 66 0 25 Feb 2010