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Xuetong Wu
Xuetong Wu
Verified email at student.unimelb.edu.au
Title
Cited by
Cited by
Year
Information-theoretic analysis for transfer learning
X Wu, JH Manton, U Aickelin, J Zhu
2020 IEEE International Symposium on Information Theory (ISIT), 2819-2824, 2020
312020
Imputation techniques on missing values in breast cancer treatment and fertility data
X Wu, H Akbarzadeh Khorshidi, U Aickelin, Z Edib, M Peate
Health Information Science and Systems 7 (1), 19, 2019
192019
Online transfer learning: Negative transfer and effect of prior knowledge
X Wu, JH Manton, U Aickelin, J Zhu
2021 IEEE International Symposium on Information Theory (ISIT), 1540-1545, 2021
102021
An information-theoretic analysis for transfer learning: Error bounds and applications
X Wu, JH Manton, U Aickelin, J Zhu
arXiv preprint arXiv:2207.05377, 2022
82022
A Bayesian approach to (online) transfer learning: Theory and algorithms
X Wu, JH Manton, U Aickelin, J Zhu
Artificial Intelligence 324, 103991, 2023
72023
Fast rate generalization error bounds: Variations on a theme
X Wu, JH Manton, U Aickelin, J Zhu
2022 IEEE Information Theory Workshop (ITW), 43-48, 2022
52022
On the tightness of information-theoretic bounds on generalization error of learning algorithms
X Wu, JH Manton, U Aickelin, J Zhu
arXiv preprint arXiv:2303.14658, 2023
12023
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis
X Wu, M Gong, JH Manton, U Aickelin, J Zhu
arXiv preprint arXiv:2205.04641, 2022
12022
Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values
X Wu, HA Khorshidi, U Aickelin, Z Edib, M Peate
Artificial Intelligence, 233-260, 2020
12020
On the Value of Stochastic Side Information in Online Learning
J Jia, X Wu, J Evans, J Zhu
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
2023
Information-theoretic Analysis For Machine Learning and Transfer Learning: Bounds and Applications
X Wu
University of Melbourne, 2023
2023
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