ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.04787
  4. Cited By
Classification Under Misspecification: Halfspaces, Generalized Linear
  Models, and Connections to Evolvability

Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability

8 June 2020
Sitan Chen
Frederic Koehler
Ankur Moitra
Morris Yau
ArXivPDFHTML

Papers citing "Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability"

6 / 6 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
53
1
0
01 Jul 2024
Cryptographic Hardness of Learning Halfspaces with Massart Noise
Cryptographic Hardness of Learning Halfspaces with Massart Noise
Ilias Diakonikolas
D. Kane
Pasin Manurangsi
Lisheng Ren
23
22
0
28 Jul 2022
Approximate Maximum Halfspace Discrepancy
Approximate Maximum Halfspace Discrepancy
Michael Matheny
J. Phillips
14
2
0
25 Jun 2021
Improved Algorithms for Efficient Active Learning Halfspaces with
  Massart and Tsybakov noise
Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov noise
Chicheng Zhang
Yinan Li
19
24
0
10 Feb 2021
Near-Optimal Statistical Query Hardness of Learning Halfspaces with
  Massart Noise
Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise
Ilias Diakonikolas
D. Kane
13
24
0
17 Dec 2020
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,084
0
24 Oct 2016
1