Search Results for author: Jonathan So

Found 6 papers, 3 papers with code

Fearless Stochasticity in Expectation Propagation

no code implementations3 Jun 2024 Jonathan So, Richard E. Turner

We use this insight to motivate two new EP variants, with updates that are particularly well-suited to MC estimation; they remain stable and are most sample-efficient when estimated with just a single sample.

Estimating the normal-inverse-Wishart distribution

no code implementations25 May 2024 Jonathan So

The normal-inverse-Wishart (NIW) distribution is commonly used as a prior distribution for the mean and covariance parameters of a multivariate normal distribution.

Identifiable Feature Learning for Spatial Data with Nonlinear ICA

no code implementations28 Nov 2023 Hermanni Hälvä, Jonathan So, Richard E. Turner, Aapo Hyvärinen

In this paper, we introduce a new nonlinear ICA framework that employs $t$-process (TP) latent components which apply naturally to data with higher-dimensional dependency structures, such as spatial and spatio-temporal data.

Disentanglement Variational Inference

Optimising Distributions with Natural Gradient Surrogates

1 code implementation18 Oct 2023 Jonathan So, Richard E. Turner

In this work we propose a novel technique for tackling such issues, which involves reframing the optimisation as one with respect to the parameters of a surrogate distribution, for which computing the natural gradient is easy.

Variational Inference

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