Jonathan Gordon

20 papers A* 6A 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2021	—	`—`	Advances in probabilistic meta-learning and the neural process family. Jonathan Gordon
2021	A	`conf`	Predictive Complexity Priors. AISTATS Eric T. Nalisnick, Jonathan Gordon, José Miguel Hernández-Lobato
2021	J	`jnl`	Sampling the Variational Posterior with Local Refinement. Entropy Marton Havasi, Jasper Snoek, Dustin Tran, Jonathan Gordon, José Miguel Hernández-Lobato
2021	J	`jnl`	The Gaussian Neural Process. CoRR Wessel P. Bruinsma, James Requeima, Andrew Y. K. Foong, Jonathan Gordon, Richard E. Turner
2020	J	`jnl`	Combining deep generative and discriminative models for Bayesian semi-supervised learning. Pattern Recognit. Jonathan Gordon, José Miguel Hernández-Lobato
2020	A*	`conf`	Convolutional Conditional Neural Processes. ICLR Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner
2020	A*	`conf`	Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. NeurIPS Andrew Y. K. Foong, Wessel P. Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard E. Turner
2020	J	`jnl`	Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. CoRR Andrew Y. K. Foong, Wessel P. Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard E. Turner
2020	A*	`conf`	Permutation Equivariant Models for Compositional Generalization in Language. ICLR Jonathan Gordon, David Lopez-Paz, Marco Baroni, Diane Bouchacourt
2020	J	`jnl`	Predictive Complexity Priors. CoRR Eric T. Nalisnick, Jonathan Gordon, José Miguel Hernández-Lobato
2020	A*	`conf`	TaskNorm: Rethinking Batch Normalization for Meta-Learning. ICML John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner
2020	J	`jnl`	TaskNorm: Rethinking Batch Normalization for Meta-Learning. CoRR John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner
2019	A*	`conf`	Bayesian Batch Active Learning as Sparse Subset Approximation. NeurIPS Robert Pinsler, Jonathan Gordon, Eric T. Nalisnick, José Miguel Hernández-Lobato
2019	J	`jnl`	Bayesian Batch Active Learning as Sparse Subset Approximation. CoRR Robert Pinsler, Jonathan Gordon, Eric T. Nalisnick, José Miguel Hernández-Lobato
2019	J	`jnl`	Convolutional Conditional Neural Processes. CoRR Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner
2019	J	`jnl`	Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes. CoRR James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner
2019	A*	`conf`	Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes. NeurIPS James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner
2019	—	`conf`	Meta-Learning Probabilistic Inference for Prediction. ICLR (Poster) Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner
2019	J	`jnl`	Probabilistic Neural Architecture Search. CoRR Francesco Paolo Casale, Jonathan Gordon, Nicoló Fusi
2018	J	`jnl`	Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning. CoRR Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner