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Variable Selection with Rigorous Uncertainty Quantification using Deep
  Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises
  Phenomenon

Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon

3 December 2019
Jeremiah Zhe Liu
    BDL
ArXiv (abs)PDFHTML

Papers citing "Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon"

2 / 2 papers shown
Title
Consistent Feature Selection for Analytic Deep Neural Networks
Consistent Feature Selection for Analytic Deep Neural Networks
Vu C. Dinh
L. Ho
FAtt
412
37
0
16 Oct 2020
Uncertainty Quantification for Sparse Deep Learning
Uncertainty Quantification for Sparse Deep Learning
Yuexi Wang
Veronika Rockova
BDLUQCV
102
31
0
26 Feb 2020
1