Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning

15 June 2014

Papers citing "Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning"

22 / 22 papers shown

Title
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices Lixing Lyu Jiashuo Jiang Wang Chi Cheung 42 1 0 24 Feb 2025
Dealing with unbounded gradients in stochastic saddle-point optimization Gergely Neu Nneka Okolo 37 3 0 21 Feb 2024
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule Maor Ivgi Oliver Hinder Y. Carmon ODL 26 56 0 08 Feb 2023
Optimistically Tempered Online Learning Maxime Haddouche Olivier Wintenberger Benjamin Guedj OnRL 23 1 0 18 Jan 2023
Making SGD Parameter-Free Y. Carmon Oliver Hinder 25 41 0 04 May 2022
Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting Jeonghun Ryu Alankrita Bhatt Young-Han Kim 26 1 0 04 Feb 2022
Understanding AdamW through Proximal Methods and Scale-Freeness Zhenxun Zhuang Mingrui Liu Ashok Cutkosky Francesco Orabona 39 63 0 31 Jan 2022
PDE-Based Optimal Strategy for Unconstrained Online Learning Zhiyu Zhang Ashok Cutkosky I. Paschalidis 19 25 0 19 Jan 2022
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints Shaojie Li Yong Liu 23 13 0 19 Jul 2021
Online Parameter-Free Learning of Multiple Low Variance Tasks Giulia Denevi Dimitris Stamos Massimiliano Pontil 16 0 0 11 Jul 2020
Variance Reduced Stochastic Proximal Algorithm for AUC Maximization Soham Dan Dushyant Sahoo 12 3 0 08 Nov 2019
Model selection for contextual bandits Dylan J. Foster A. Krishnamurthy Haipeng Luo OffRL 21 89 0 03 Jun 2019
Matrix-Free Preconditioning in Online Learning Ashok Cutkosky Tamás Sarlós ODL 30 16 0 29 May 2019
Automatic Gradient Boosting Janek Thomas Stefan Coors B. Bischl 18 23 0 10 Jul 2018
Best of many worlds: Robust model selection for online supervised learning Vidya Muthukumar Mitas Ray A. Sahai Peter L. Bartlett OffRL 40 8 0 22 May 2018
Parameter-free online learning via model selection Dylan J. Foster Satyen Kale M. Mohri Karthik Sridharan 24 58 0 30 Dec 2017
Online Convex Optimization with Unconstrained Domains and Losses Ashok Cutkosky K. Boahen ODL 17 32 0 07 Mar 2017
Data-Dependent Stability of Stochastic Gradient Descent Ilja Kuzborskij Christoph H. Lampert MLT 9 165 0 05 Mar 2017
Alternative asymptotics for cointegration tests in large VARs Junhong Lin Lorenzo Rosasco 23 43 0 28 May 2016
Scale-Free Online Learning Francesco Orabona D. Pál 15 102 0 08 Jan 2016
Iterative Regularization for Learning with Convex Loss Functions Junhong Lin Lorenzo Rosasco Ding-Xuan Zhou 27 43 0 31 Mar 2015
Achieving All with No Parameters: Adaptive NormalHedge Haipeng Luo Robert Schapire ODL 21 18 0 20 Feb 2015