141 citations · 314 across the 16 of their papers we have counts for
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q-bio.QM2014
Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data
Eric V. Strobl, Shyam Visweswaran
Motivation: Algorithms that discover variables which are causally related to a target may inform the design of experiments. With observational gene expression data, many methods di…
stat.ML2014★ 2 cited
Counting Markov Blanket Structures
Shyam Visweswaran, Gregory F. Cooper
Learning Markov blanket (MB) structures has proven useful in performing feature selection, learning Bayesian networks (BNs), and discovering causal relationships. We present a form…
stat.ML2014
Markov Blanket Ranking using Kernel-based Conditional Dependence Measures
Eric V. Strobl, Shyam Visweswaran
Developing feature selection algorithms that move beyond a pure correlational to a more causal analysis of observational data is an important problem in the sciences. Several algor…