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stat.ML2020
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray, Botond Szabo, Gabriel Clara
Variational Bayes (VB) is a popular scalable alternative to Markov chain Monte Carlo for Bayesian inference. We study a mean-field spike and slab VB approximation of widely used Ba…
stat.ML2019★ 5 cited
Debiased Bayesian inference for average treatment effects
Kolyan Ray, Botond Szabo
Bayesian approaches have become increasingly popular in causal inference problems due to their conceptual simplicity, excellent performance and in-built uncertainty quantification…
stat.ML2018
Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning
Wouter van Loon, Marjolein Fokkema, Botond Szabo +1
In biomedical research, many different types of patient data can be collected, such as various types of omics data and medical imaging modalities. Applying multi-view learning to t…