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Accounting For Informative Sampling When Learning to Forecast Treatment
  Outcomes Over Time

Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time

7 June 2023
Toon Vanderschueren
Alicia Curth
Wouter Verbeke
M. Schaar
ArXivPDFHTML

Papers citing "Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time"

6 / 6 papers shown
Title
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
Konstantin Hess
Stefan Feuerriegel
46
0
0
04 Oct 2024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
Dennis Frauen
Konstantin Hess
Stefan Feuerriegel
35
5
0
07 Jul 2024
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift
Vincent Jeanselme
G. Martin
Niels Peek
M. Sperrin
Brian D. M. Tom
Jessica Barrett
OOD
26
4
0
26 May 2022
Balancing Suspense and Surprise: Timely Decision Making with Endogenous
  Information Acquisition
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition
Ahmed Alaa
M. Schaar
29
12
0
24 Oct 2016
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
205
1,895
0
06 Jun 2016
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
215
719
0
12 May 2016
1