Implicit Parameter-free Online Learning with Truncated Linear Models

19 March 2022

Papers citing "Implicit Parameter-free Online Learning with Truncated Linear Models"

21 / 21 papers shown

Title
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications Liyu Chen Haipeng Luo Chen-Yu Wei 91 44 0 01 Feb 2021
Parameter-free Stochastic Optimization of Variationally Coherent Functions Francesco Orabona Dávid Pál 68 19 0 30 Jan 2021
Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting K. Chen John Langford Francesco Orabona 42 21 0 12 Jun 2020
Temporal Variability in Implicit Online Learning Nicolò Campolongo Francesco Orabona 62 27 0 12 Jun 2020
Lipschitz and Comparator-Norm Adaptivity in Online Learning Zakaria Mhammedi Wouter M. Koolen 64 56 0 27 Feb 2020
Matrix-Free Preconditioning in Online Learning Ashok Cutkosky Tamás Sarlós ODL 66 16 0 29 May 2019
Adaptive scale-invariant online algorithms for learning linear models Michal Kempka W. Kotłowski Manfred K. Warmuth 51 30 0 20 Feb 2019
Parameter-Free Online Convex Optimization with Sub-Exponential Noise Kwang-Sung Jun Francesco Orabona 94 43 0 05 Feb 2019
Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity Hilal Asi John C. Duchi 120 125 0 12 Oct 2018
Fully Implicit Online Learning Chaobing Song Ji Liu Han Liu Yong Jiang Tong Zhang FedML 180 8 0 25 Sep 2018
Online Learning: Sufficient Statistics and the Burkholder Method Dylan J. Foster Alexander Rakhlin Karthik Sridharan 47 27 0 20 Mar 2018
Black-Box Reductions for Parameter-free Online Learning in Banach Spaces Ashok Cutkosky Francesco Orabona 81 146 0 17 Feb 2018
Scale-invariant unconstrained online learning W. Kotłowski 43 18 0 23 Aug 2017
Online Learning Without Prior Information Ashok Cutkosky K. Boahen ODL 39 74 0 07 Mar 2017
Coin Betting and Parameter-Free Online Learning Francesco Orabona D. Pál 160 165 0 12 Feb 2016
OpenML: networked science in machine learning Joaquin Vanschoren Jan N. van Rijn B. Bischl Luís Torgo FedML AI4CE 163 1,324 0 29 Jul 2014
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning Francesco Orabona 137 103 0 15 Jun 2014
Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations H. B. McMahan Francesco Orabona 130 77 0 03 Mar 2014
No-Regret Algorithms for Unconstrained Online Convex Optimization Matthew J. Streeter H. B. McMahan ODL 78 89 0 09 Nov 2012
Online Importance Weight Aware Updates Nikos Karampatziakis John Langford 161 79 0 06 Nov 2010
A Unified View of Regularized Dual Averaging and Mirror Descent with Implicit Updates H. B. McMahan 59 33 0 16 Sep 2010