Vu et al.
Autoencoding random forests. CRAN package.
Penn
budgetIVr: Optimal partial identification of causal effects with mostly invalid instruments. CRAN package.
Watson
Bounding causal effects with leaky instruments. CRAN package.
Watson et al.
Explaining predictive uncertainty with information theoretic Shapley values. GitHub repo.
Silva & Watson
Intervention generalization: A view from factor graph models. GitHub repo.
Wright et al.
Adversarial random forests. CRAN package.
Watson
Causal discovery under a confounder blanket. CRAN package.
Gultchin et al.
Local explanations via necessity and sufficiency: Unifying theory and practice. GitHub repo.
Watson & Wright
Testing conditional independence in supervised learning algorithms. CRAN package.
Gultchin et al.
Operationalizing complex causes: A pragmatic view of mediation. GitHub repo.
Kinney & Watson
Causal feature learning for utility-maximizing agents. GitHub repo.
John & Watson
M3C: Monte Carlo reference based consensus clustering. Bioconductor package.
John & Watson
Spectrum: Fast adaptive spectral clustering for single and multi-view data. CRAN package.
Watson & Tansey
False discovery rate smoothing. GitHub repo.