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Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex
  Optimization Approach

Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach

23 October 2023
Yinan Li
Chicheng Zhang
ArXiv (abs)PDFHTML

Papers citing "Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach"

11 / 11 papers shown
Title
Cryptographic Hardness of Learning Halfspaces with Massart Noise
Cryptographic Hardness of Learning Halfspaces with Massart Noise
Ilias Diakonikolas
D. Kane
Pasin Manurangsi
Lisheng Ren
56
25
0
28 Jul 2022
Agnostic Learnability of Halfspaces via Logistic Loss
Agnostic Learnability of Halfspaces via Logistic Loss
Ziwei Ji
Kwangjun Ahn
Pranjal Awasthi
Satyen Kale
Stefani Karp
40
3
0
31 Jan 2022
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
43
24
0
10 Feb 2021
Learning Halfspaces with Tsybakov Noise
Learning Halfspaces with Tsybakov Noise
Ilias Diakonikolas
Vasilis Kontonis
Christos Tzamos
Nikos Zarifis
57
23
0
11 Jun 2020
Classification Under Misspecification: Halfspaces, Generalized Linear
  Models, and Connections to Evolvability
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability
Sitan Chen
Frederic Koehler
Ankur Moitra
Morris Yau
56
22
0
08 Jun 2020
Learning Halfspaces with Massart Noise Under Structured Distributions
Learning Halfspaces with Massart Noise Under Structured Distributions
Ilias Diakonikolas
Vasilis Kontonis
Christos Tzamos
Nikos Zarifis
49
61
0
13 Feb 2020
Efficient and Parsimonious Agnostic Active Learning
Efficient and Parsimonious Agnostic Active Learning
Tzu-Kuo Huang
Alekh Agarwal
Daniel J. Hsu
John Langford
Robert Schapire
132
47
0
29 Jun 2015
Stochastic Optimization with Importance Sampling
Stochastic Optimization with Importance Sampling
P. Zhao
Tong Zhang
96
345
0
13 Jan 2014
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic
  Programming
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming
Saeed Ghadimi
Guanghui Lan
ODL
122
1,555
0
22 Sep 2013
Active and passive learning of linear separators under log-concave
  distributions
Active and passive learning of linear separators under log-concave distributions
Maria-Florina Balcan
Philip M. Long
83
148
0
06 Nov 2012
Rates of convergence in active learning
Rates of convergence in active learning
Steve Hanneke
126
153
0
09 Mar 2011
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