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1810.01545
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A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation
3 October 2018
Clayton Scott
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Papers citing
"A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation"
27 / 27 papers shown
Title
Recalibrating binary probabilistic classifiers
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Conformal Prediction Under Generalized Covariate Shift with Posterior Drift
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Xingye Qiao
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Label Noise: Ignorance Is Bliss
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Jianxin Zhang
Aditya Gangrade
Clayton Scott
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31 Oct 2024
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation
Qinshuo Liu
Zixin Wang
Xi-An Li
Xinyao Ji
Lei Zhang
Lin Liu
Zhonghua Liu
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04 Aug 2024
Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
Arnab Auddy
T. T. Cai
Abhinav Chakraborty
95
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28 Jun 2024
An adaptive transfer learning perspective on classification in non-stationary environments
Henry W J Reeve
86
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28 May 2024
Distribution-Free Rates in Neyman-Pearson Classification
Mohammadreza M. Kalan
Samory Kpotufe
46
1
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14 Feb 2024
Invariance assumptions for class distribution estimation
Dirk Tasche
OOD
68
4
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28 Nov 2023
Tight Rates in Supervised Outlier Transfer Learning
Mohammadreza M. Kalan
Samory Kpotufe
33
1
0
07 Oct 2023
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
Hongxiang Qiu
E. T. Tchetgen
Yan Sun
OOD
54
7
0
28 Jun 2023
Mixture Proportion Estimation Beyond Irreducibility
Yilun Zhu
A. Fjeldsted
Darren C. Holland
George V. Landon
A. Lintereur
Clayton Scott
29
5
0
02 Jun 2023
Classification Tree Pruning Under Covariate Shift
Nicholas Galbraith
Samory Kpotufe
71
1
0
07 May 2023
Sparse joint shift in multinomial classification
Dirk Tasche
67
3
0
29 Mar 2023
Factorizable Joint Shift in Multinomial Classification
Dirk Tasche
123
3
0
29 Jul 2022
Class Prior Estimation under Covariate Shift: No Problem?
Dirk Tasche
141
6
0
06 Jun 2022
Non-splitting Neyman-Pearson Classifiers
Jingming Wang
Lucy Xia
Z. Bao
Xin Tong
56
1
0
01 Dec 2021
Adaptive transfer learning
Henry W. J. Reeve
T. Cannings
R. Samworth
OOD
27
12
0
08 Jun 2021
Calibrating sufficiently
Dirk Tasche
UQCV
48
11
0
15 May 2021
A Computationally Efficient Classification Algorithm in Posterior Drift Model: Phase Transition and Minimax Adaptivity
Ruiqi Liu
Kexuan Li
Zuofeng Shang
28
4
0
09 Nov 2020
On Localized Discrepancy for Domain Adaptation
Yuchen Zhang
Mingsheng Long
Jianmin Wang
Michael I. Jordan
73
18
0
14 Aug 2020
Self-Updating Models with Error Remediation
J. Doak
Michael R. Smith
J. Ingram
KELM
34
1
0
19 May 2020
On the Value of Target Data in Transfer Learning
Steve Hanneke
Samory Kpotufe
81
74
0
12 Feb 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible
Antonin Berthon
Bo Han
Gang Niu
Tongliang Liu
Masashi Sugiyama
NoLa
132
108
0
11 Jan 2020
Learning from Multiple Corrupted Sources, with Application to Learning from Label Proportions
Clayton Scott
Jianxin Zhang
27
7
0
10 Oct 2019
Transfer Learning for Nonparametric Classification: Minimax Rate and Adaptive Classifier
AI T.TONYC
EI Hongjiw
69
98
0
07 Jun 2019
Marginal Singularity, and the Benefits of Labels in Covariate-Shift
Samory Kpotufe
Guillaume Martinet
171
96
0
05 Mar 2018
Domain Generalization by Marginal Transfer Learning
Gilles Blanchard
A. Deshmukh
Ürün Dogan
Gyemin Lee
Clayton Scott
OOD
102
286
0
21 Nov 2017
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