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Optimal Prediction Using Expert Advice and Randomized Littlestone
  Dimension

Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension

27 February 2023
Yuval Filmus
Steve Hanneke
Idan Mehalel
Shay Moran
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Papers citing "Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension"

13 / 13 papers shown
Title
Online Learning of Neural Networks
Online Learning of Neural Networks
Amit Daniely
Idan Mehalel
Elchanan Mossel
MLT
21
3
0
14 May 2025
Worst-case Error Bounds for Online Learning of Smooth Functions
Weian Xie
34
0
0
23 Feb 2025
Deterministic Apple Tasting
Deterministic Apple Tasting
Zachary Chase
Idan Mehalel
16
1
0
14 Oct 2024
Learnability Gaps of Strategic Classification
Learnability Gaps of Strategic Classification
Lee Cohen
Yishay Mansour
Shay Moran
Han Shao
42
6
0
29 Feb 2024
Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs
Yuval Filmus
Steve Hanneke
Idan Mehalel
Shay Moran
8
4
0
12 Feb 2024
Bounds on the price of feedback for mistake-bounded online learning
Bounds on the price of feedback for mistake-bounded online learning
Jesse Geneson
Linus Tang
15
1
0
11 Jan 2024
Multiclass Online Learnability under Bandit Feedback
Multiclass Online Learnability under Bandit Feedback
A. Raman
Vinod Raman
Unique Subedi
Idan Mehalel
Ambuj Tewari
17
7
0
08 Aug 2023
Optimal Learners for Realizable Regression: PAC Learning and Online
  Learning
Optimal Learners for Realizable Regression: PAC Learning and Online Learning
Idan Attias
Steve Hanneke
Alkis Kalavasis
Amin Karbasi
Grigoris Velegkas
35
21
0
07 Jul 2023
A Combinatorial Characterization of Supervised Online Learnability
A Combinatorial Characterization of Supervised Online Learnability
Vinod Raman
Unique Subedi
Ambuj Tewari
20
0
0
07 Jul 2023
Online Learning with Set-Valued Feedback
Online Learning with Set-Valued Feedback
Vinod Raman
Unique Subedi
Ambuj Tewari
25
4
0
09 Jun 2023
Comparative Learning: A Sample Complexity Theory for Two Hypothesis
  Classes
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes
Lunjia Hu
Charlotte Peale
43
6
0
16 Nov 2022
Adversarial Laws of Large Numbers and Optimal Regret in Online
  Classification
Adversarial Laws of Large Numbers and Optimal Regret in Online Classification
N. Alon
Omri Ben-Eliezer
Y. Dagan
Shay Moran
M. Naor
E. Yogev
77
51
0
22 Jan 2021
Sample Complexity Bounds on Differentially Private Learning via
  Communication Complexity
Sample Complexity Bounds on Differentially Private Learning via Communication Complexity
Vitaly Feldman
David Xiao
172
71
0
25 Feb 2014
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