Papers citing 'Deconfounding Temporal Autoencoder: Estimating Treatment Effects over Time Using Noisy Proxies'

Title
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine Prateek Jaiswal Esmaeil Keyvanshokooh Junyu Cao 179 0 0 22 May 2025
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment EffectsInternational Conference on Information and Knowledge Management (CIKM), 2024 Dong Yao Caizhi Tang Daixin Wang Longfei Li CML 197 0 0 28 Oct 2024
Stabilized Neural Prediction of Potential Outcomes in Continuous TimeInternational Conference on Learning Representations (ICLR), 2024 Konstantin Hess Stefan Feuerriegel 431 3 0 04 Oct 2024
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data Miruna Oprescu Nathan Kallus CML 161 1 0 10 Jun 2024
Causal Contrastive Learning for Counterfactual Regression Over Time Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML AI4TS 284 6 0 01 Jun 2024
A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data Ghadeer O. Ghosheh Moritz Gögl Tingting Zhu 193 0 0 07 Feb 2024
Bayesian Neural Controlled Differential Equations for Treatment Effect EstimationInternational Conference on Learning Representations (ICLR), 2023 Konstantin Hess Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 185 22 0 26 Oct 2023
Counterfactual Generative Models for Time-Varying TreatmentsKnowledge Discovery and Data Mining (KDD), 2023 Shenghao Wu Wen-liang Zhou Minshuo Chen Shixiang Zhu DiffM CML 373 12 0 25 May 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden ConfoundersAAAI Conference on Artificial Intelligence (AAAI), 2023 Defu Cao James Enouen Yujing Wang Xiangchen Song Chuizheng Meng Hao Niu Yan Liu CML 144 26 0 04 Mar 2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders Defu Cao James Enouen Wenshu Fan CML 210 2 0 19 Feb 2023
Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model Tobias Hatt Stefan Feuerriegel 97 2 0 08 Aug 2022
Causal Transformer for Estimating Counterfactual OutcomesInternational Conference on Machine Learning (ICML), 2022 Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 219 127 0 14 Apr 2022
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in MedicineMachine Learning in Health Care (MLHC), 2022 Theresa Blümlein Joel Persson Stefan Feuerriegel CML 174 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 250 106 0 31 Mar 2022
Estimating Conditional Average Treatment Effects with Missing Treatment InformationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Milan Kuzmanovic Tobias Hatt Stefan Feuerriegel CML 199 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 200 35 0 25 Feb 2022
Generalizing Off-Policy Learning under Sample Selection Bias Tobias Hatt D. Tschernutter Stefan Feuerriegel OffRL 124 19 0 02 Dec 2021
Sequential Deconfounding for Causal Inference with Unobserved ConfoundersCLEaR (CLEaR), 2021 Tobias Hatt Stefan Feuerriegel CML 227 30 0 16 Apr 2021