How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference

6 October 2020

Papers citing "How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference"

5 / 5 papers shown

Title
Compositional Models for Estimating Causal Effects Purva Pruthi David D. Jensen CML 67 0 0 25 Jun 2024
Stochastic Causal Programming for Bounding Treatment Effects Kirtan Padh Jakob Zeitler David S. Watson Matt J. Kusner Ricardo M. A. Silva Niki Kilbertus CML 32 26 0 22 Feb 2022
Validating Causal Inference Methods Harsh Parikh Carlos Varjao Louise Xu E. T. Tchetgen CML 19 20 0 09 Feb 2022
Evaluation Methods and Measures for Causal Learning Algorithms Lu Cheng Ruocheng Guo Raha Moraffah Paras Sheth K. S. Candan Huan Liu CML ELM 24 51 0 07 Feb 2022
ADCB: An Alzheimer's disease benchmark for evaluating observational estimators of causal effects N. M. Kinyanjui Fredrik D. Johansson CML 30 0 0 12 Nov 2021