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05/18/2023
Uniform approximation of common Gaussian process kernels using equispaced Fourier grids
The high efficiency of a recently proposed method for computing with Gau...
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04/18/2023
BISG: When inferring race or ethnicity, does it matter that people often live near their relatives?
Bayesian Improved Surname Geocoding (BISG) is a ubiquitous tool for pred...
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03/02/2023
Learning to Grow Pretrained Models for Efficient Transformer Training
Scaling transformers has led to significant breakthroughs in many domain...
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02/08/2023
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
The canonical formulation of federated learning treats it as a distribut...
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10/18/2022
Equispaced Fourier representations for efficient Gaussian process regression from a billion data points
We introduce a Fourier-based fast algorithm for Gaussian process regress...
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01/31/2022
On a linearization of quadratic Wasserstein distance
This paper studies the problem of computing a linear approximation of qu...
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10/06/2021
Fast methods for posterior inference of two-group normal-normal models
We describe a class of algorithms for evaluating posterior moments of ce...
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09/28/2021
Efficient Fourier representations of families of Gaussian processes
We introduce a class of algorithms for constructing Fourier representati...
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08/12/2021
Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions
In this work we introduce a reduced-rank algorithm for Gaussian process ...
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05/27/2021
The piranha problem: Large effects swimming in a small pond
In some scientific fields, it is common to have certain variables of int...
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11/09/2020