572 citations · 2k across the 30 of their papers we have counts for
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Surrogate Likelihoods for Variational Annealed Importance Sampling
Martin Jankowiak, Du Phan
Variational inference is a powerful paradigm for approximate Bayesian inference with a number of appealing properties, including support for model learning and data subsampling. By…
Fast Bayesian Variable Selection in Binomial and Negative Binomial Regression
Martin Jankowiak
Bayesian variable selection is a powerful tool for data analysis, as it offers a principled method for variable selection that accounts for prior information and uncertainty. Howev…
Scalable Cross Validation Losses for Gaussian Process Models
Martin Jankowiak, Geoff Pleiss
We introduce a simple and scalable method for training Gaussian process (GP) models that exploits cross-validation and nearest neighbor truncation. To accommodate binary and multi-…
High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces
David Eriksson, Martin Jankowiak
Bayesian optimization (BO) is a powerful paradigm for efficient optimization of black-box objective functions. High-dimensional BO presents a particular challenge, in part because…