Sources of Gain: Decomposing Performance in Conditional Average Dose
Response Estimation

Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation

12 June 2024

Christopher Bockel-Rickermann

Toon Vanderschueren

Papers citing "Sources of Gain: Decomposing Performance in Conditional Average Dose Response Estimation"

11 / 11 papers shown

Title
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation Minqin Zhu Anpeng Wu Haoxuan Li Ruoxuan Xiong Bo Li ... Xuan Qin Peng Zhen Jiecheng Guo Leilei Gan Kun Kuang CML 70 10 0 21 Mar 2024
Adversarially Balanced Representation for Continuous Treatment Effect Estimation Amirreza Kazemi Martin Ester CML OOD 56 3 0 17 Dec 2023
Reliable Off-Policy Learning for Dosage Combinations Jonas Schweisthal Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel OffRL 50 12 0 31 May 2023
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 239 30,108 0 01 Mar 2022
VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments Lizhen Nie Mao Ye Qiang Liu D. Nicolae CML 55 71 0 14 Mar 2021
Machine learning on small size samples: A synthetic knowledge synthesis P. Kokol Marko Kokol S. Zagoranski 66 172 0 01 Mar 2021
k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples) Padraig Cunningham Sarah Jane Delany 86 603 0 09 Apr 2020
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves Patrick Schwab Lorenz Linhardt Stefan Bauer J. M. Buhmann W. Karlen CML OOD 64 135 0 03 Feb 2019
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 187 741 0 24 May 2017
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 271 729 0 12 May 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 698 38,735 0 09 Mar 2016