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2112.03013
Cited By
Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies
6 December 2021
Milan Kuzmanovic
Tobias Hatt
Stefan Feuerriegel
CML
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Papers citing
"Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies"
18 / 18 papers shown
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine
Prateek Jaiswal
Esmaeil Keyvanshokooh
Junyu Cao
252
0
0
22 May 2025
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects
International Conference on Information and Knowledge Management (CIKM), 2024
Dong Yao
Caizhi Tang
Daixin Wang
Longfei Li
CML
240
0
0
28 Oct 2024
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
International Conference on Learning Representations (ICLR), 2024
Konstantin Hess
Stefan Feuerriegel
553
3
0
04 Oct 2024
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
Miruna Oprescu
Nathan Kallus
CML
236
1
0
10 Jun 2024
Causal Contrastive Learning for Counterfactual Regression Over Time
Mouad El Bouchattaoui
Myriam Tami
Benoit Lepetit
P. Cournède
CML
AI4TS
392
6
0
01 Jun 2024
A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data
Ghadeer O. Ghosheh
Moritz Gögl
Tingting Zhu
201
0
0
07 Feb 2024
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation
International Conference on Learning Representations (ICLR), 2023
Konstantin Hess
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
241
22
0
26 Oct 2023
Counterfactual Generative Models for Time-Varying Treatments
Knowledge Discovery and Data Mining (KDD), 2023
Shenghao Wu
Wen-liang Zhou
Minshuo Chen
Shixiang Zhu
DiffM
CML
515
11
0
25 May 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
AAAI Conference on Artificial Intelligence (AAAI), 2023
Defu Cao
James Enouen
Yujing Wang
Xiangchen Song
Chuizheng Meng
Hao Niu
Yan Liu
CML
178
26
0
04 Mar 2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders
Defu Cao
James Enouen
Wenshu Fan
CML
264
2
0
19 Feb 2023
Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model
Tobias Hatt
Stefan Feuerriegel
123
2
0
08 Aug 2022
Causal Transformer for Estimating Counterfactual Outcomes
International Conference on Machine Learning (ICML), 2022
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
CML
275
131
0
14 Apr 2022
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine
Machine Learning in Health Care (MLHC), 2022
Theresa Blümlein
Joel Persson
Stefan Feuerriegel
CML
191
14
0
14 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Chuizheng Meng
Sungyong Seo
Defu Cao
Sam Griesemer
Yan Liu
PINN
AI4CE
323
143
0
31 Mar 2022
Estimating Conditional Average Treatment Effects with Missing Treatment Information
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Milan Kuzmanovic
Tobias Hatt
Stefan Feuerriegel
CML
281
7
0
02 Mar 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects
Tobias Hatt
Jeroen Berrevoets
Alicia Curth
Stefan Feuerriegel
M. Schaar
CML
293
36
0
25 Feb 2022
Generalizing Off-Policy Learning under Sample Selection Bias
Tobias Hatt
D. Tschernutter
Stefan Feuerriegel
OffRL
170
19
0
02 Dec 2021
Sequential Deconfounding for Causal Inference with Unobserved Confounders
CLEaR (CLEaR), 2021
Tobias Hatt
Stefan Feuerriegel
CML
334
30
0
16 Apr 2021
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