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Better Parameter-free Stochastic Optimization with ODE Updates for
  Coin-Betting
v1v2v3 (latest)

Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting

12 June 2020
K. Chen
John Langford
Francesco Orabona
ArXiv (abs)PDFHTML

Papers citing "Better Parameter-free Stochastic Optimization with ODE Updates for Coin-Betting"

17 / 17 papers shown
Title
The Sample Complexity of Parameter-Free Stochastic Convex Optimization
The Sample Complexity of Parameter-Free Stochastic Convex Optimization
Jared Lawrence
Ari Kalinsky
Hannah Bradfield
Y. Carmon
Oliver Hinder
17
0
0
12 Jun 2025
Reasoning without Regret
Reasoning without Regret
Tarun Chitra
OffRLLRM
79
0
0
14 Apr 2025
Temporal Context Consistency Above All: Enhancing Long-Term Anticipation
  by Learning and Enforcing Temporal Constraints
Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints
Alberto Maté
Mariella Dimiccoli
AI4TS
80
1
0
27 Dec 2024
Adaptive Variance Reduction for Stochastic Optimization under Weaker
  Assumptions
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
Wei Jiang
Sifan Yang
Yibo Wang
Lijun Zhang
93
2
0
04 Jun 2024
Towards Stability of Parameter-free Optimization
Towards Stability of Parameter-free Optimization
Yijiang Pang
Shuyang Yu
Hoang Bao
Jiayu Zhou
57
1
0
07 May 2024
The Price of Adaptivity in Stochastic Convex Optimization
The Price of Adaptivity in Stochastic Convex Optimization
Y. Carmon
Oliver Hinder
85
7
0
16 Feb 2024
How Free is Parameter-Free Stochastic Optimization?
How Free is Parameter-Free Stochastic Optimization?
Amit Attia
Tomer Koren
ODL
92
8
0
05 Feb 2024
Locally Optimal Descent for Dynamic Stepsize Scheduling
Locally Optimal Descent for Dynamic Stepsize Scheduling
Gilad Yehudai
Alon Cohen
Amit Daniely
Yoel Drori
Tomer Koren
Mariano Schain
89
0
0
23 Nov 2023
Generalized Implicit Follow-The-Regularized-Leader
Generalized Implicit Follow-The-Regularized-Leader
Keyi Chen
Francesco Orabona
FedML
53
1
0
31 May 2023
Tuning-Free Maximum Likelihood Training of Latent Variable Models via
  Coin Betting
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting
Louis Sharrock
Daniel Dodd
Christopher Nemeth
88
8
0
24 May 2023
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule
Maor Ivgi
Oliver Hinder
Y. Carmon
ODL
157
66
0
08 Feb 2023
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Louis Sharrock
Christopher Nemeth
BDL
85
8
0
26 Jan 2023
Optimal Comparator Adaptive Online Learning with Switching Cost
Optimal Comparator Adaptive Online Learning with Switching Cost
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
54
4
0
13 May 2022
Making SGD Parameter-Free
Making SGD Parameter-Free
Y. Carmon
Oliver Hinder
96
47
0
04 May 2022
Learning to Accelerate by the Methods of Step-size Planning
Learning to Accelerate by the Methods of Step-size Planning
Hengshuai Yao
73
0
0
01 Apr 2022
Implicit Parameter-free Online Learning with Truncated Linear Models
Implicit Parameter-free Online Learning with Truncated Linear Models
Keyi Chen
Ashok Cutkosky
Francesco Orabona
74
10
0
19 Mar 2022
PDE-Based Optimal Strategy for Unconstrained Online Learning
PDE-Based Optimal Strategy for Unconstrained Online Learning
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
93
27
0
19 Jan 2022
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