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From Local Pseudorandom Generators to Hardness of Learning

From Local Pseudorandom Generators to Hardness of Learning

20 January 2021
Amit Daniely
Gal Vardi
ArXivPDFHTML

Papers citing "From Local Pseudorandom Generators to Hardness of Learning"

4 / 4 papers shown
Title
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
Gautam Chandrasekaran
Adam R. Klivans
Vasilis Kontonis
Raghu Meka
Konstantinos Stavropoulos
50
1
0
01 Jul 2024
Exploration is Harder than Prediction: Cryptographically Separating
  Reinforcement Learning from Supervised Learning
Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning
Noah Golowich
Ankur Moitra
Dhruv Rohatgi
OffRL
30
4
0
04 Apr 2024
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
Sitan Chen
Aravind Gollakota
Adam R. Klivans
Raghu Meka
16
30
0
10 Feb 2022
Efficiently Learning Any One Hidden Layer ReLU Network From Queries
Efficiently Learning Any One Hidden Layer ReLU Network From Queries
Sitan Chen
Adam R. Klivans
Raghu Meka
MLAU
MLT
39
8
0
08 Nov 2021
1