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A simple uniformly optimal method without line search for convex optimization

16 October 2023

Papers citing "A simple uniformly optimal method without line search for convex optimization"

27 / 27 papers shown

Title
Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization Guanghui Lan Yuyuan Ouyang Zhe Zhang 43 7 0 18 Oct 2023
Normalized Gradients for All Francesco Orabona 90 10 0 10 Aug 2023
Adaptive Proximal Gradient Method for Convex Optimization Yura Malitsky Konstantin Mishchenko 60 26 0 04 Aug 2023
Accelerated stochastic approximation with state-dependent noise Sasila Ilandarideva A. Juditsky Guanghui Lan Tianjiao Li 69 8 0 04 Jul 2023
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method Ahmed Khaled Konstantin Mishchenko Chi Jin ODL 67 28 0 25 May 2023
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule Maor Ivgi Oliver Hinder Y. Carmon ODL 109 66 0 08 Feb 2023
Learning-Rate-Free Learning by D-Adaptation Aaron Defazio Konstantin Mishchenko 69 85 0 18 Jan 2023
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient P. Latafat Andreas Themelis L. Stella Panagiotis Patrinos 75 27 0 11 Jan 2023
Beyond the Golden Ratio for Variational Inequality Algorithms Ahmet Alacaoglu A. Böhm Yura Malitsky 60 15 0 28 Dec 2022
Benchopt: Reproducible, efficient and collaborative optimization benchmarks Thomas Moreau Mathurin Massias Alexandre Gramfort Pierre Ablin Pierre-Antoine Bannier Benjamin Charlier ... Binh Duc Nguyen A. Rakotomamonjy Zaccharie Ramzi Joseph Salmon Samuel Vaiter 92 36 0 27 Jun 2022
Accelerated first-order methods for convex optimization with locally Lipschitz continuous gradient Zhaosong Lu Sanyou Mei 44 8 0 02 Jun 2022
Making SGD Parameter-Free Y. Carmon Oliver Hinder 86 47 0 04 May 2022
Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning Georgios Kotsalis Guanghui Lan Tianjiao Li OffRL 57 32 0 15 Nov 2020
Simple and optimal methods for stochastic variational inequalities, I: operator extrapolation Georgios Kotsalis Guanghui Lan Tianjiao Li 79 61 0 05 Nov 2020
Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities Alina Ene Huy Le Nguyen Adrian Vladu ODL 73 29 0 17 Jul 2020
Lipschitz and Comparator-Norm Adaptivity in Online Learning Zakaria Mhammedi Wouter M. Koolen 66 57 0 27 Feb 2020
Online Adaptive Methods, Universality and Acceleration Kfir Y. Levy A. Yurtsever Volkan Cevher ODL 66 93 0 08 Sep 2018
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes Xiaoyun Li Francesco Orabona 69 298 0 21 May 2018
Black-Box Reductions for Parameter-free Online Learning in Banach Spaces Ashok Cutkosky Francesco Orabona 85 148 0 17 Feb 2018
Random gradient extrapolation for distributed and stochastic optimization Guanghui Lan Yi Zhou 54 52 0 15 Nov 2017
Online to Offline Conversions, Universality and Adaptive Minibatch Sizes Kfir Y. Levy ODL 87 59 0 30 May 2017
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 181 166 0 12 Feb 2016
An optimal randomized incremental gradient method Guanghui Lan Yi Zhou 148 220 0 08 Jul 2015
No-Regret Algorithms for Unconstrained Online Convex Optimization Matthew J. Streeter H. B. McMahan ODL 82 90 0 09 Nov 2012
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming A. Belloni Victor Chernozhukov Lie Wang 197 675 0 28 Sep 2010
A parameter-free hedging algorithm Kamalika Chaudhuri Y. Freund Daniel J. Hsu 403 143 0 16 Mar 2009