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Universal Online Learning with Unbounded Losses: Memory Is All You Need

Universal Online Learning with Unbounded Losses: Memory Is All You Need

21 January 2022
Moise Blanchard
Romain Cosson
Steve Hanneke
ArXivPDFHTML

Papers citing "Universal Online Learning with Unbounded Losses: Memory Is All You Need"

7 / 7 papers shown
Title
A Theory of Optimistically Universal Online Learnability for General Concept Classes
A Theory of Optimistically Universal Online Learnability for General Concept Classes
Steve Hanneke
Hongao Wang
38
0
0
15 Jan 2025
Contextual Bandits and Optimistically Universal Learning
Contextual Bandits and Optimistically Universal Learning
Moise Blanchard
Steve Hanneke
P. Jaillet
OffRL
19
1
0
31 Dec 2022
Multiclass Learnability Beyond the PAC Framework: Universal Rates and
  Partial Concept Classes
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes
Alkis Kalavasis
Grigoris Velegkas
Amin Karbasi
8
11
0
05 Oct 2022
Universal Regression with Adversarial Responses
Universal Regression with Adversarial Responses
Moise Blanchard
P. Jaillet
14
6
0
09 Mar 2022
Metric-valued regression
Metric-valued regression
Daniel Cohen
A. Kontorovich
FedML
9
5
0
07 Feb 2022
Universal Online Learning: an Optimistically Universal Learning Rule
Universal Online Learning: an Optimistically Universal Learning Rule
Moise Blanchard
12
11
0
16 Jan 2022
Universal Online Learning with Bounded Loss: Reduction to Binary
  Classification
Universal Online Learning with Bounded Loss: Reduction to Binary Classification
Moise Blanchard
Romain Cosson
15
10
0
29 Dec 2021
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