Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning. - Jonathan Gordon 003; John Bronskill; Matthias Bauer 001; Sebastian Nowozin; Richard E. Turner (CoRR, 2018)

Meta-Learning Probabilistic Inference for Prediction. - Jonathan Gordon 003; John Bronskill; Matthias Bauer 001; Sebastian Nowozin; Richard E. Turner (ICLR (Poster), 2019)

Bayesian Batch Active Learning as Sparse Subset Approximation. - Robert Pinsler; Jonathan Gordon 003; Eric T. Nalisnick; José Miguel Hernández-Lobato (NeurIPS, 2019)

Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes. - James Requeima; Jonathan Gordon 003; John Bronskill; Sebastian Nowozin; Richard E. Turner (NeurIPS, 2019)

Probabilistic Neural Architecture Search. - Francesco Paolo Casale; Jonathan Gordon 003; Nicoló Fusi (CoRR, 2019)

Convolutional Conditional Neural Processes. - Jonathan Gordon 003; Wessel P. Bruinsma; Andrew Y. K. Foong; James Requeima; Yann Dubois; Richard E. Turner (ICLR, 2020)

Permutation Equivariant Models for Compositional Generalization in Language. - Jonathan Gordon 003; David Lopez-Paz; Marco Baroni; Diane Bouchacourt (ICLR, 2020)

TaskNorm: Rethinking Batch Normalization for Meta-Learning. - John Bronskill; Jonathan Gordon 003; James Requeima; Sebastian Nowozin; Richard E. Turner (ICML, 2020)

Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. - Andrew Y. K. Foong; Wessel P. Bruinsma; Jonathan Gordon 003; Yann Dubois; James Requeima; Richard E. Turner (NeurIPS, 2020)

Combining deep generative and discriminative models for Bayesian semi-supervised learning. - Jonathan Gordon 003; José Miguel Hernández-Lobato (Pattern Recognit., 2020)

Predictive Complexity Priors. - Eric T. Nalisnick; Jonathan Gordon 003; José Miguel Hernández-Lobato (AISTATS, 2021)

The Gaussian Neural Process. - Wessel P. Bruinsma; James Requeima; Andrew Y. K. Foong; Jonathan Gordon 003; Richard E. Turner (CoRR, 2021)

Sampling the Variational Posterior with Local Refinement. - Marton Havasi; Jasper Snoek; Dustin Tran; Jonathan Gordon 003; José Miguel Hernández-Lobato (Entropy, 2021)

Advances in probabilistic meta-learning and the neural process family. - Jonathan Gordon 003 (2021)