Tommy Rochussen

amortised inference · in-context learning as Bayesian inference · meta-learning priors · probabilistic machine learning · approximate inference · approximate Bayesian inference · Bayesian inference · variational inference · Laplace approximation · probabilistic meta learning · neural processes · Gaussian processes · Gaussian process limit of neural networks · infinite-width neural networks · scalable Gaussian processes · sparse Gaussian processes · variational Gaussian processes · inducing point Gaussian processes · Bayesian deep learning · Bayesian neural networks · Variational autoencoders · VAEs · amortised variational inference