4 citations · 8 across the 3 of their papers we have counts for
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stat.ME2018★ 4 cited
RSVP-graphs: Fast High-dimensional Covariance Matrix Estimation under Latent Confounding
Rajen D. Shah, Benjamin Frot, Gian-Andrea Thanei +1
In this work we consider the problem of estimating a high-dimensional covariance matrix , given observations of confounded data with covariance , where…
stat.ME2017
Robust causal structure learning with some hidden variables
Benjamin Frot, Preetam Nandy, Marloes H. Maathuis
We introduce a new method to estimate the Markov equivalence class of a directed acyclic graph (DAG) in the presence of hidden variables, in settings where the underlying DAG among…
stat.ME2015★ 3 cited
Latent variable model selection for Gaussian conditional random fields
Benjamin Frot, Luke Jostins, Gil McVean
We consider the problem of learning a conditional Gaussian graphical model in the presence of latent variables. Building on recent advances in this field, we suggest a method that…