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Parameter-free online learning via model selection
v1v2 (latest)

Parameter-free online learning via model selection

30 December 2017
Dylan J. Foster
Satyen Kale
M. Mohri
Karthik Sridharan
ArXiv (abs)PDFHTML

Papers citing "Parameter-free online learning via model selection"

16 / 16 papers shown
Title
Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis
Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis
Junfan Li
Shizhong Liao
137
0
0
01 Jul 2024
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement
  Learning
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
Aneesh Muppidi
Zhiyu Zhang
Heng Yang
78
6
0
26 May 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning
Budgeted Online Model Selection and Fine-Tuning via Federated Learning
P. M. Ghari
Yanning Shen
FedML
98
2
0
19 Jan 2024
Normalized Gradients for All
Normalized Gradients for All
Francesco Orabona
108
10
0
10 Aug 2023
Unconstrained Dynamic Regret via Sparse Coding
Unconstrained Dynamic Regret via Sparse Coding
Zhiyu Zhang
Ashok Cutkosky
I. Paschalidis
139
9
0
31 Jan 2023
Parameter-free Regret in High Probability with Heavy Tails
Parameter-free Regret in High Probability with Heavy Tails
Jiujia Zhang
Ashok Cutkosky
75
20
0
25 Oct 2022
Exploiting the Curvature of Feasible Sets for Faster Projection-Free
  Online Learning
Exploiting the Curvature of Feasible Sets for Faster Projection-Free Online Learning
Zakaria Mhammedi
103
9
0
23 May 2022
Nonstochastic Bandits with Infinitely Many Experts
Nonstochastic Bandits with Infinitely Many Experts
X. Meng
Tuhin Sarkar
M. Dahleh
OffRL
54
1
0
09 Feb 2021
Impossible Tuning Made Possible: A New Expert Algorithm and Its
  Applications
Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications
Liyu Chen
Haipeng Luo
Chen-Yu Wei
115
45
0
01 Feb 2021
Online Learning with Imperfect Hints
Online Learning with Imperfect Hints
Aditya Bhaskara
Ashok Cutkosky
Ravi Kumar
Manish Purohit
121
58
0
11 Feb 2020
Adaptive Online Learning with Varying Norms
Adaptive Online Learning with Varying Norms
Ashok Cutkosky
40
0
0
10 Feb 2020
Model selection for contextual bandits
Model selection for contextual bandits
Dylan J. Foster
A. Krishnamurthy
Haipeng Luo
OffRL
216
90
0
03 Jun 2019
Combining Online Learning Guarantees
Combining Online Learning Guarantees
Ashok Cutkosky
77
27
0
24 Feb 2019
Best of many worlds: Robust model selection for online supervised
  learning
Best of many worlds: Robust model selection for online supervised learning
Vidya Muthukumar
Mitas Ray
A. Sahai
Peter L. Bartlett
OffRL
80
8
0
22 May 2018
Online Learning: Sufficient Statistics and the Burkholder Method
Online Learning: Sufficient Statistics and the Burkholder Method
Dylan J. Foster
Alexander Rakhlin
Karthik Sridharan
63
27
0
20 Mar 2018
Black-Box Reductions for Parameter-free Online Learning in Banach Spaces
Black-Box Reductions for Parameter-free Online Learning in Banach Spaces
Ashok Cutkosky
Francesco Orabona
96
148
0
17 Feb 2018
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