35 citations · 55 across the 6 of their papers we have counts for
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stat.ML2016
Causal Learning via Manifold Regularization
Steven M. Hill, Chris. J. Oates, Duncan A. Blythe +1
This paper frames causal structure estimation as a machine learning task. The idea is to treat indicators of causal relationships between variables as `labels' and to exploit avail…
stat.ML2013★ 6 cited
Network-based clustering with mixtures of L1-penalized Gaussian graphical models: an empirical investigation
Steven M. Hill, Sach Mukherjee
In many applications, multivariate samples may harbor previously unrecognized heterogeneity at the level of conditional independence or network structure. For example, in cancer bi…