13 citations · 33 across the 17 of their papers we have counts for
4 papers · 1 filter
Bayesian multilevel multivariate logistic regression for superiority decision-making under observable treatment heterogeneity
Xynthia Kavelaars, Joris Mulder, Maurits Kaptein
In medical, social, and behavioral research we often encounter datasets with a multilevel structure and multiple correlated dependent variables. These data are frequently collected…
An Empirical Evaluation of Posterior Sampling for Constrained Reinforcement Learning
Danil Provodin, Pratik Gajane, Mykola Pechenizkiy +1
We study a posterior sampling approach to efficient exploration in constrained reinforcement learning. Alternatively to existing algorithms, we propose two simple algorithms that a…
Bayesian multivariate logistic regression for superiority and inferiority decision-making under observable treatment heterogeneity
Xynthia Kavelaars, Joris Mulder, Maurits Kaptein
The effects of treatments may differ between persons with different characteristics. Addressing such treatment heterogeneity is crucial to investigate whether patients with specifi…
The Impact of Batch Learning in Stochastic Linear Bandits
Danil Provodin, Pratik Gajane, Mykola Pechenizkiy +1
We consider a special case of bandit problems, named batched bandits, in which an agent observes batches of responses over a certain time period. Unlike previous work, we consider…