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Hongming Pu
Hongming Pu
Phd of Statistics, Wharton School, University of Pennsylvania
Verified email at wharton.upenn.edu
Title
Cited by
Cited by
Year
The expressive power of neural networks: A view from the width
Z Lu, H Pu, F Wang, Z Hu, L Wang
Advances in neural information processing systems 30, 2017
10892017
Semiparametric proximal causal inference
Y Cui, H Pu, X Shi, W Miao, E Tchetgen Tchetgen
Journal of the American Statistical Association, 1-12, 2023
792023
Estimating optimal treatment rules with an instrumental variable: A partial identification learning approach
H Pu, B Zhang
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021
332021
Transfer learning for nonparametric regression: Non-asymptotic minimax analysis and adaptive procedure
TT Cai, H Pu
arXiv preprint arXiv:2401.12272, 2022
102022
Stochastic continuum-armed bandits with additive models: Minimax regrets and adaptive algorithm
TT Cai, H Pu
The Annals of Statistics 50 (4), 2179-2204, 2022
52022
Discussion of Cui and Tchetgen Tchetgen (2020) and Qiu et al.(2020)
B Zhang, H Pu
Journal of the American Statistical Association 116 (533), 196-199, 2021
52021
Transfer learning for functional mean estimation: Phase transition and adaptive algorithms
T Cai, D Kim, H Pu
arXiv preprint arXiv:2401.12331, 2024
12024
Supplement to “Stochastic continuum-armed bandits with additive models: Minimax regrets and adaptive algorithm.”
TT Cai, H Pu
2022
Topics in Statistical Machine Learning
H Pu
University of Pennsylvania, 2022
2022
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