2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2024
Fearless Stochasticity in Expectation Propagation
Jonathan So, Richard E. Turner
Expectation propagation (EP) is a family of algorithms for performing approximate inference in probabilistic models. The updates of EP involve the evaluation of moments -- expectat…
stat.ML2023★ 2 cited
Identifiable Feature Learning for Spatial Data with Nonlinear ICA
Hermanni Hälvä, Jonathan So, Richard E. Turner +1
Recently, nonlinear ICA has surfaced as a popular alternative to the many heuristic models used in deep representation learning and disentanglement. An advantage of nonlinear ICA i…
stat.ML2023
Optimising Distributions with Natural Gradient Surrogates
Jonathan So, Richard E. Turner
Natural gradient methods have been used to optimise the parameters of probability distributions in a variety of settings, often resulting in fast-converging procedures. Unfortunate…