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2006.07507
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Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting
12 June 2020
K. Chen
John Langford
Francesco Orabona
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Papers citing
"Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting"
19 / 19 papers shown
Title
Implicit Parameter-free Online Learning with Truncated Linear Models
Keyi Chen
Ashok Cutkosky
Francesco Orabona
49
10
0
19 Mar 2022
Parameter-free Stochastic Optimization of Variationally Coherent Functions
Francesco Orabona
Dávid Pál
68
19
0
30 Jan 2021
Lipschitz and Comparator-Norm Adaptivity in Online Learning
Zakaria Mhammedi
Wouter M. Koolen
61
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
49
30
0
20 Feb 2019
Parameter-Free Online Convex Optimization with Sub-Exponential Noise
Kwang-Sung Jun
Francesco Orabona
91
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
Online Learning: Sufficient Statistics and the Burkholder Method
Dylan J. Foster
Alexander Rakhlin
Karthik Sridharan
42
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
41
18
0
23 Aug 2017
Online Learning Without Prior Information
Ashok Cutkosky
K. Boahen
ODL
36
74
0
07 Mar 2017
Online Convex Optimization with Unconstrained Domains and Losses
Ashok Cutkosky
K. Boahen
ODL
49
32
0
07 Mar 2017
Coin Betting and Parameter-Free Online Learning
Francesco Orabona
D. Pál
160
165
0
12 Feb 2016
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
160
1,166
0
04 Mar 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
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
132
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
Online Importance Weight Aware Updates
Nikos Karampatziakis
John Langford
161
79
0
06 Nov 2010
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