Jonathan Gordon

Affiliations:
  • University of Cambridge, Department of Engineering, UK


According to our database1, Jonathan Gordon authored at least 14 papers between 2018 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Advances in probabilistic meta-learning and the neural process family.
PhD thesis, 2021

Sampling the Variational Posterior with Local Refinement.
Entropy, 2021

The Gaussian Neural Process.
CoRR, 2021

Predictive Complexity Priors.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Combining deep generative and discriminative models for Bayesian semi-supervised learning.
Pattern Recognit., 2020

Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

TaskNorm: Rethinking Batch Normalization for Meta-Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Permutation Equivariant Models for Compositional Generalization in Language.
Proceedings of the 8th International Conference on Learning Representations, 2020

Convolutional Conditional Neural Processes.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Probabilistic Neural Architecture Search.
CoRR, 2019

Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bayesian Batch Active Learning as Sparse Subset Approximation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Meta-Learning Probabilistic Inference for Prediction.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning.
CoRR, 2018


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