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Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer
  Treatment-Effects from Observational Data

Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data

3 November 2021
Andrew Jesson
P. Tigas
Joost R. van Amersfoort
Andreas Kirsch
Uri Shalit
Y. Gal
    CML
ArXivPDFHTML

Papers citing "Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data"

3 / 3 papers shown
Title
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
Hechuan Wen
Tong Chen
Mingming Gong
Li Kheng Chai
S. Sadiq
Hongzhi Yin
CML
58
0
0
08 May 2025
Interventions, Where and How? Experimental Design for Causal Models at
  Scale
Interventions, Where and How? Experimental Design for Causal Models at Scale
P. Tigas
Yashas Annadani
Andrew Jesson
Bernhard Schölkopf
Y. Gal
Stefan Bauer
CML
34
48
0
03 Mar 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
1