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Impossibility of Characterizing Distribution Learning -- a simple
  solution to a long-standing problem

Impossibility of Characterizing Distribution Learning -- a simple solution to a long-standing problem

18 April 2023
Tosca Lechner
Shai Ben-David
ArXivPDFHTML

Papers citing "Impossibility of Characterizing Distribution Learning -- a simple solution to a long-standing problem"

4 / 4 papers shown
Title
Distribution Learnability and Robustness
Distribution Learnability and Robustness
Shai Ben-David
Alex Bie
Gautam Kamath
Tosca Lechner
34
2
0
25 Jun 2024
Do PAC-Learners Learn the Marginal Distribution?
Do PAC-Learners Learn the Marginal Distribution?
Max Hopkins
D. Kane
Shachar Lovett
G. Mahajan
95
2
0
13 Feb 2023
Adversarially Robust Learning: A Generic Minimax Optimal Learner and
  Characterization
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization
Omar Montasser
Steve Hanneke
Nathan Srebro
29
17
0
15 Sep 2022
Realizable Learning is All You Need
Realizable Learning is All You Need
Max Hopkins
D. Kane
Shachar Lovett
G. Mahajan
111
22
0
08 Nov 2021
1