In this manuscript we introduce Group Spike-and-slab Variational Bayes
(...
In consensus clustering, a clustering algorithm is used in combination w...
Motivation: Bacterial community composition is commonly quantified using...
The stochastic generalised linear bandit is a well-understood model for
...
We propose a variational Bayesian proportional hazards model for predict...
There are many provably efficient algorithms for episodic reinforcement
...
Stability selection represents an attractive approach to identify sparse...
The effectiveness of Bayesian Additive Regression Trees (BART) has been
...
In modern data analysis, nonparametric measures of discrepancies between...
This article introduces a Bayesian nonparametric method for quantifying ...
While the success of deep neural networks (DNNs) is well-established acr...
Representations of probability measures in reproducing kernel Hilbert sp...
Kernel methods are one of the mainstays of machine learning, but the pro...
We consider the task of opportunistic channel access in a primary system...