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A Theory of Universal Learning

A Theory of Universal Learning

9 November 2020
Olivier Bousquet
Steve Hanneke
Shay Moran
Ramon van Handel
Amir Yehudayoff
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Papers citing "A Theory of Universal Learning"

16 / 16 papers shown
Title
Statistical Indistinguishability of Learning Algorithms
Statistical Indistinguishability of Learning Algorithms
Alkis Kalavasis
Amin Karbasi
Shay Moran
Grigoris Velegkas
25
16
0
23 May 2023
Fundamental Tradeoffs in Learning with Prior Information
Fundamental Tradeoffs in Learning with Prior Information
Anirudha Majumdar
32
0
0
26 Apr 2023
Do PAC-Learners Learn the Marginal Distribution?
Do PAC-Learners Learn the Marginal Distribution?
Max Hopkins
D. Kane
Shachar Lovett
G. Mahajan
100
2
0
13 Feb 2023
Online Learning in Dynamically Changing Environments
Online Learning in Dynamically Changing Environments
Changlong Wu
A. Grama
Wojtek Szpankowski
13
6
0
31 Jan 2023
The One-Inclusion Graph Algorithm is not Always Optimal
The One-Inclusion Graph Algorithm is not Always Optimal
Ishaq Aden-Ali
Yeshwanth Cherapanamjeri
Abhishek Shetty
Nikita Zhivotovskiy
29
7
0
19 Dec 2022
Differentially-Private Bayes Consistency
Differentially-Private Bayes Consistency
Olivier Bousquet
Haim Kaplan
A. Kontorovich
Yishay Mansour
Shay Moran
Menachem Sadigurschi
Uri Stemmer
18
0
0
08 Dec 2022
A Characterization of List Learnability
A Characterization of List Learnability
Moses Charikar
Chirag Pabbaraju
29
13
0
07 Nov 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
21
11
0
05 Oct 2022
Revisiting Neural Scaling Laws in Language and Vision
Revisiting Neural Scaling Laws in Language and Vision
Ibrahim M. Alabdulmohsin
Behnam Neyshabur
Xiaohua Zhai
159
102
0
13 Sep 2022
Fine-Grained Distribution-Dependent Learning Curves
Fine-Grained Distribution-Dependent Learning Curves
Olivier Bousquet
Steve Hanneke
Shay Moran
Jonathan Shafer
Ilya O. Tolstikhin
30
5
0
31 Aug 2022
Universal Online Learning with Unbounded Losses: Memory Is All You Need
Universal Online Learning with Unbounded Losses: Memory Is All You Need
Moise Blanchard
Romain Cosson
Steve Hanneke
20
10
0
21 Jan 2022
Universal Online Learning: an Optimistically Universal Learning Rule
Universal Online Learning: an Optimistically Universal Learning Rule
Moise Blanchard
19
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
28
10
0
29 Dec 2021
Turing-Universal Learners with Optimal Scaling Laws
Turing-Universal Learners with Optimal Scaling Laws
Preetum Nakkiran
21
2
0
09 Nov 2021
Open Problem: Is There an Online Learning Algorithm That Learns Whenever
  Online Learning Is Possible?
Open Problem: Is There an Online Learning Algorithm That Learns Whenever Online Learning Is Possible?
Steve Hanneke
16
7
0
20 Jul 2021
The Shape of Learning Curves: a Review
The Shape of Learning Curves: a Review
T. Viering
Marco Loog
18
122
0
19 Mar 2021
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