DRCFS: Doubly Robust Causal Feature Selection
Authors: Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer
ICML 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We perform extensive experiments across a wide range of simulated and semisynthetic datasets. |
| Researcher Affiliation | Academia | 1Department of Computer Science, University of Oxford 2Laboratory for Information & Decision Systems (LIDS), Massachusetts Institute of Technology 3KTH Royal Institute of Technology 4TU Munich 5Helmholtz Munich. |
| Pseudocode | Yes | Algorithm 1 Doubly Robust Causal Feature Selection Algorithm (DRCFS) |
| Open Source Code | No | The paper mentions external R packages used for baselines but does not provide a specific repository link or an explicit statement about the availability of the source code for their proposed method (DRCFS). |
| Open Datasets | Yes | In this part, to assess the performance of our algorithm with a taste of real-world application, we conduct a semi-synthetic experiment based on microbiome abundance data in plant leaves from Regalado et al. (2020). |
| Dataset Splits | Yes | split the n samples D = {(x1i, . . . , xmi, yi)}i=1,...,n into k disjoint sets D1, . . . , Dk; define Dc l D \ Dl for all l [k]; |
| Hardware Specification | No | The paper does not provide any specific hardware details such as GPU models, CPU types, or memory used for running the experiments. |
| Software Dependencies | No | The paper mentions the use of 'R Packages "Compare Causal Networks"' and '"selective Inference: Tools for Post-Selection Inference"' for baselines, and 'Forest Riesz' for estimation, but does not provide specific version numbers for these or any other software dependencies crucial for replication. |
| Experiment Setup | Yes | Algorithm 1 Doubly Robust Causal Feature Selection Algorithm (DRCFS)... split the n samples D = {(x1i, . . . , xmi, yi)}i=1,...,n into k disjoint sets D1, . . . , Dk; |