Estimating Identifiable Causal Effects through Double Machine Learning
Authors: Yonghan Jung, Jin Tian, Elias Bareinboim12113-12122
AAAI 2021 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Simulation results corroborate with the theory. ... We evaluate the proposed estimators on the models in Examples 1 and 2. |
| Researcher Affiliation | Academia | Yonghan Jung1, Jin Tian2, Elias Bareinboim 3 1 Department of Computer Science, Purdue University 2 Department of Computer Science, Iowa State University 3 Department of Computer Science, Columbia University jung222@purdue.edu, jtian@iastate.edu, eb@cs.columbia.edu |
| Pseudocode | Yes | Algorithm 1: DML-ID (x, y, G, P) ... Algorithm 2: COMPONENTUIF(Aj, Mj r) |
| Open Source Code | No | The paper does not provide any explicit statement or link to open-source code for the described methodology. |
| Open Datasets | Yes | The causal graphs are constructed from the classic Alarm network (Beinlich et al. 1989), originally collected from a system used to monitor patients conditions. |
| Dataset Splits | No | The paper mentions 'Split D randomly into two halves: D0 and D1' for cross-fitting, but does not provide specific train/validation/test percentages, sample counts, or explicit cross-validation setups for general reproducibility of data partitioning. |
| Hardware Specification | No | The paper does not provide specific hardware details such as GPU/CPU models, processor types, or memory used for running the experiments. |
| Software Dependencies | No | The paper mentions 'Nuisance functions are estimated using gradient boosting models called XGBoost (Chen and Guestrin 2016)' but does not provide a specific version number for XGBoost or any other software. |
| Experiment Setup | No | The paper states 'Details of the models and the data-generating process are described in Appendix B.' indicating that specific experimental setup details (like hyperparameters or training schedules) are not provided in the main text. |