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Point Location and Active Learning: Learning Halfspaces Almost Optimally

Point Location and Active Learning: Learning Halfspaces Almost Optimally

23 April 2020
Max Hopkins
D. Kane
Shachar Lovett
G. Mahajan
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Papers citing "Point Location and Active Learning: Learning Halfspaces Almost Optimally"

5 / 5 papers shown
Title
Do PAC-Learners Learn the Marginal Distribution?
Do PAC-Learners Learn the Marginal Distribution?
Max Hopkins
D. Kane
Shachar Lovett
G. Mahajan
111
2
0
13 Feb 2023
A Strongly Polynomial Algorithm for Approximate Forster Transforms and
  its Application to Halfspace Learning
A Strongly Polynomial Algorithm for Approximate Forster Transforms and its Application to Halfspace Learning
Ilias Diakonikolas
Christos Tzamos
D. Kane
26
12
0
06 Dec 2022
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
ReLU Regression with Massart Noise
ReLU Regression with Massart Noise
Ilias Diakonikolas
Jongho Park
Christos Tzamos
56
11
0
10 Sep 2021
Forster Decomposition and Learning Halfspaces with Noise
Forster Decomposition and Learning Halfspaces with Noise
Ilias Diakonikolas
D. Kane
Christos Tzamos
89
18
0
12 Jul 2021
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