141 citations · 314 across the 16 of their papers we have counts for
5 papers · 1 filter
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials
Eric V. Strobl, Shyam Visweswaran
Personalized medicine seeks to identify the causal effect of treatment for a particular patient as opposed to a clinical population at large. Most investigators estimate such perso…
Estimating and Controlling the False Discovery Rate for the PC Algorithm Using Edge-Specific P-Values
Eric V. Strobl, Peter L. Spirtes, Shyam Visweswaran
The PC algorithm allows investigators to estimate a complete partially directed acyclic graph (CPDAG) from a finite dataset, but few groups have investigated strategies for estimat…
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…
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…
Deep Multiple Kernel Learning
Eric Strobl, Shyam Visweswaran
Deep learning methods have predominantly been applied to large artificial neural networks. Despite their state-of-the-art performance, these large networks typically do not general…