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ORCIDJonathan Gordon 0003
Person information
- affiliation: University of Cambridge, Department of Engineering, UK
Other persons with the same name
- Jonathan Gordon 0001
![[0000-0002-8896-2057]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8896-2057")
— Vassar College, Poughkeepsie, NY, USA (and 1 more) - Jonathan Gordon 0002 — Ben-Gurion University of the Negev, Beer-Sheva, Israel
- Jonathan Gordon 0004 — OpenAI
- Jonathan Gordon 0005 — Fleet Space Technologies, Adelaide, Australia
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2020 – today
- 2021
[b1]Jonathan Gordon:
Advances in probabilistic meta-learning and the neural process family. University of Cambridge, UK, 2021- [j2]Marton Havasi, Jasper Snoek, Dustin Tran, Jonathan Gordon, José Miguel Hernández-Lobato:
Sampling the Variational Posterior with Local Refinement. Entropy 23(11): 1475 (2021) - [c8]Eric T. Nalisnick, Jonathan Gordon, José Miguel Hernández-Lobato:
Predictive Complexity Priors. AISTATS 2021: 694-702 - [i9]Wessel P. Bruinsma, James Requeima, Andrew Y. K. Foong, Jonathan Gordon, Richard E. Turner:
The Gaussian Neural Process. CoRR abs/2101.03606 (2021) - 2020
- [j1]Jonathan Gordon, José Miguel Hernández-Lobato:
Combining deep generative and discriminative models for Bayesian semi-supervised learning. Pattern Recognit. 100: 107156 (2020) - [c7]Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner:
Convolutional Conditional Neural Processes. ICLR 2020 - [c6]Jonathan Gordon, David Lopez-Paz, Marco Baroni, Diane Bouchacourt:
Permutation Equivariant Models for Compositional Generalization in Language. ICLR 2020 - [c5]John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner:
TaskNorm: Rethinking Batch Normalization for Meta-Learning. ICML 2020: 1153-1164 - [c4]Andrew Y. K. Foong, Wessel P. Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard E. Turner:
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. NeurIPS 2020 - [i8]John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner:
TaskNorm: Rethinking Batch Normalization for Meta-Learning. CoRR abs/2003.03284 (2020) - [i7]Eric T. Nalisnick, Jonathan Gordon, José Miguel Hernández-Lobato:
Predictive Complexity Priors. CoRR abs/2006.10801 (2020) - [i6]Andrew Y. K. Foong, Wessel P. Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard E. Turner:
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. CoRR abs/2007.01332 (2020)
2010 – 2019
- 2019
- [c3]Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner:
Meta-Learning Probabilistic Inference for Prediction. ICLR (Poster) 2019 - [c2]Robert Pinsler, Jonathan Gordon, Eric T. Nalisnick, José Miguel Hernández-Lobato:
Bayesian Batch Active Learning as Sparse Subset Approximation. NeurIPS 2019: 6356-6367 - [c1]James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner:
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes. NeurIPS 2019: 7957-7968 - [i5]Francesco Paolo Casale, Jonathan Gordon, Nicoló Fusi:
Probabilistic Neural Architecture Search. CoRR abs/1902.05116 (2019) - [i4]James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner:
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes. CoRR abs/1906.07697 (2019) - [i3]Robert Pinsler, Jonathan Gordon, Eric T. Nalisnick, José Miguel Hernández-Lobato:
Bayesian Batch Active Learning as Sparse Subset Approximation. CoRR abs/1908.02144 (2019) - [i2]Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner:
Convolutional Conditional Neural Processes. CoRR abs/1910.13556 (2019) - 2018
- [i1]Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E. Turner:
Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning. CoRR abs/1805.09921 (2018)
Coauthor Index
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