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Transfer Learning for Nonparametric Classification: Minimax Rate and
  Adaptive Classifier

Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier

7 June 2019
AI T.TONYC
EI Hongjiw
ArXiv (abs)PDFHTML

Papers citing "Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier"

12 / 62 papers shown
Title
Weighted Training for Cross-Task Learning
Weighted Training for Cross-Task Learning
Shuxiao Chen
K. Crammer
Han He
Dan Roth
Weijie J. Su
83
28
0
28 May 2021
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory
Ruiqi Liu
Ganggang Xu
Zuofeng Shang
35
0
0
20 May 2021
A Computationally Efficient Classification Algorithm in Posterior Drift
  Model: Phase Transition and Minimax Adaptivity
A Computationally Efficient Classification Algorithm in Posterior Drift Model: Phase Transition and Minimax Adaptivity
Ruiqi Liu
Kexuan Li
Zuofeng Shang
30
4
0
09 Nov 2020
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
Fan Yang
Hongyang R. Zhang
Sen Wu
Christopher Ré
Weijie J. Su
159
11
0
22 Oct 2020
Transfer Learning in Large-scale Gaussian Graphical Models with False
  Discovery Rate Control
Transfer Learning in Large-scale Gaussian Graphical Models with False Discovery Rate Control
Sai Li
T. Tony Cai
Hongzhe Li
82
53
0
21 Oct 2020
A No-Free-Lunch Theorem for MultiTask Learning
A No-Free-Lunch Theorem for MultiTask Learning
Steve Hanneke
Samory Kpotufe
167
39
0
29 Jun 2020
Transfer Learning for High-dimensional Linear Regression: Prediction,
  Estimation, and Minimax Optimality
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality
Sai Li
T. Tony Cai
Hongzhe Li
113
164
0
18 Jun 2020
Minimax optimal approaches to the label shift problem in non-parametric
  settings
Minimax optimal approaches to the label shift problem in non-parametric settings
Subha Maity
Yuekai Sun
Moulinath Banerjee
52
23
0
23 Mar 2020
On the Value of Target Data in Transfer Learning
On the Value of Target Data in Transfer Learning
Steve Hanneke
Samory Kpotufe
83
74
0
12 Feb 2020
Classification under local differential privacy
Classification under local differential privacy
Thomas B. Berrett
C. Butucea
62
13
0
10 Dec 2019
Statistical Learning from Biased Training Samples
Statistical Learning from Biased Training Samples
Stephan Clémençon
Pierre Laforgue
110
9
0
28 Jun 2019
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
299
4,685
0
17 Feb 2017
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