most citedMDL-motivated compression of GLM ensembles increases interpretability and retains predictive power

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2021

Identification of Latent Variables From Graphical Model Residuals

Boris Hayete, Fred Gruber, Anna Decker +1

Graph-based causal discovery methods aim to capture conditional independencies consistent with the observed data and differentiate causal relationships from indirect or induced one…

stat.ML2016★ 4 cited

MDL-motivated compression of GLM ensembles increases interpretability and retains predictive power

Boris Hayete, Matthew Valko, Alex Greenfield +1

Over the years, ensemble methods have become a staple of machine learning. Similarly, generalized linear models (GLMs) have become very popular for a wide variety of statistical in…