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DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation

DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation

4 August 2024
Qinshuo Liu
Zixin Wang
Xi-An Li
Xinyao Ji
Lei Zhang
Lin Liu
Zhonghua Liu
ArXivPDFHTML

Papers citing "DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation"

5 / 5 papers shown
Title
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language
  Models
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
Xiaoman Pan
Wenlin Yao
Hongming Zhang
Dian Yu
Dong Yu
Jianshu Chen
KELM
193
22
0
28 Oct 2022
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep
  Learning
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
Siqi Xu
Lin Liu
Zhong Liu
CML
MedIm
26
8
0
10 Oct 2022
Solving Fredholm Integral Equations of the First Kind via Wasserstein
  Gradient Flows
Solving Fredholm Integral Equations of the First Kind via Wasserstein Gradient Flows
F. R. Crucinio
Valentin De Bortoli
Arnaud Doucet
A. M. Johansen
32
3
0
16 Sep 2022
Deep Learning Methods for Proximal Inference via Maximum Moment
  Restriction
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
Benjamin Kompa
David R. Bellamy
Thomas Kolokotrones
J. M. Robins
Andrew L. Beam
31
12
0
19 May 2022
Domain Adaptation as a Problem of Inference on Graphical Models
Domain Adaptation as a Problem of Inference on Graphical Models
Anton van den Hengel
Biwei Huang
P. Stojanov
Erdun Gao
Qingsong Liu
Clark Glymour
OOD
43
64
0
09 Feb 2020
1