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Universal Online Learning with Bounded Loss: Reduction to Binary
  Classification

Universal Online Learning with Bounded Loss: Reduction to Binary Classification

29 December 2021
Moise Blanchard
Romain Cosson
ArXivPDFHTML

Papers citing "Universal Online Learning with Bounded Loss: Reduction to Binary Classification"

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
47
0
0
15 Jan 2025
Online Consistency of the Nearest Neighbor Rule
Online Consistency of the Nearest Neighbor Rule
S. Dasgupta
Geelon So
29
0
0
31 Oct 2024
Contextual Bandits and Optimistically Universal Learning
Contextual Bandits and Optimistically Universal Learning
Moise Blanchard
Steve Hanneke
Patrick Jaillet
OffRL
26
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
29
11
0
05 Oct 2022
Universal Regression with Adversarial Responses
Universal Regression with Adversarial Responses
Moise Blanchard
Patrick Jaillet
29
6
0
09 Mar 2022
Metric-valued regression
Metric-valued regression
Daniel Cohen
A. Kontorovich
FedML
19
5
0
07 Feb 2022
Universal Online Learning: an Optimistically Universal Learning Rule
Universal Online Learning: an Optimistically Universal Learning Rule
Moise Blanchard
24
11
0
16 Jan 2022
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