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Consistent Sparse Deep Learning: Theory and Computation

Consistent Sparse Deep Learning: Theory and Computation

25 February 2021
Y. Sun
Qifan Song
F. Liang
    BDL
ArXivPDFHTML

Papers citing "Consistent Sparse Deep Learning: Theory and Computation"

4 / 4 papers shown
Title
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks
Sehwan Kim
F. Liang
FedML
55
0
0
04 May 2025
Sparse Deep Learning for Time Series Data: Theory and Applications
Sparse Deep Learning for Time Series Data: Theory and Applications
Mingxuan Zhang
Y. Sun
Faming Liang
AI4TS
OOD
BDL
36
2
0
05 Oct 2023
On the optimization and pruning for Bayesian deep learning
On the optimization and pruning for Bayesian deep learning
X. Ke
Yanan Fan
BDL
UQCV
29
1
0
24 Oct 2022
A Kernel-Expanded Stochastic Neural Network
A Kernel-Expanded Stochastic Neural Network
Y. Sun
F. Liang
20
5
0
14 Jan 2022
1