… In addition, we present our freely available Bayesian active learning library, BaaL1 which
provides all the necessary set up and tools for active learning experiments at any scale. …

… Bayesian Active Learning provides a principled framework for addressing this challenge …
We address this by proposing the Bayesian Active Learner for Preference Modeling (BAL-PM), …

… 103] adopts the method of batch acquisition and chooses Bayesian Active Learning by …
This enables ActiveLink to strike a balance between the importance of the newly and …

… 12); and we focus on active learning in a (Bayesian) deep learning setting. As such our …
to naive top-K acquisition in (Bayesian) deep active learning and to compare them to more …

… Active Learning (AL) is a method to iteratively select data for annotation from a pool of un…
In this paper, we address these limitations by introducing BALM; Bayesian Active Learning with …

… Here, we show that ESB-BAL can be used to extend active learning to non-myopic designs
(ie the optimization is not restricted to the timing of the next event, but takes into account the n …

… To fill the gap, we introduce a novel algorithm, Bayesian active learning (BAL), for … BAL
directly models the posterior distribution of the global optimum (ie, native structures) with active …

… The study focuses on Active Learning, with a distinctive … Active Learning, a specialized
branch of machine learning, goes … -based approach is Bayesian Active Learning by Disagree- …

… Second, an efficient strategy is employed to determine feasible regions based on Bayesian
active learning (BAL). In BAL, the Gaussian process (GP) of all cost functions is trained. An …

… acceleration of the Bayesian active learning (BAL) workflow and integrate it with Large-scale
Atomic/Molecular Massively Parallel Simulator (LAMMPS) 21 . Bayesian force fields are …