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Andrew Y. K. Foong
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Year
'In-Between' Uncertainty in Bayesian Neural Networks
AYK Foong, Y Li, JM HernŠndez-Lobato, RE Turner
Uncertainty in Deep Learning Workshop, ICML 2019, 2019
592019
Convolutional Conditional Neural Processes
J Gordon, WP Bruinsma, AYK Foong, J Requeima, Y Dubois, RE Turner
International Conference on Learning Representations (ICLR) 2020, 2019
582019
On the Expressiveness of Approximate Inference in Bayesian Neural Networks
AYK Foong, DR Burt, Y Li, RE Turner
Neural Information Processing Systems (NeurIPS) 2020, 2019
432019
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
AYK Foong, WP Bruinsma, J Gordon, Y Dubois, J Requeima, RE Turner
Neural Information Processing Systems (NeurIPS) 2020, 2020
182020
Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks
AYK Foong, DR Burt, Y Li, RE Turner
Bayesian Deep Learning Workshop, NeurIPS 2019, 2019
152019
The Gaussian Neural Process
WP Bruinsma, J Requeima, AYK Foong, J Gordon, RE Turner
Advances in Approximate Bayesian Inference (AABI) 2020, 2021
102021
Neural process family
Y Dubois, J Gordon, AY Foong
https://yanndubs.github.io/Neural-Process-Family/text/Intro.html, 2020
102020
How Tight Can PAC-Bayes be in the Small Data Regime?
AYK Foong, WP Bruinsma, DR Burt, RE Turner
Neural Information Processing Systems (NeurIPS) 2021, 2021
52021
Structured Weight Priors for Convolutional Neural Networks
T Pearce, AYK Foong, A Brintrup
Uncertainty in Deep Learning Workshop, ICML 2020, 2020
52020
Collapsed variational bounds for bayesian neural networks
M Tomczak, S Swaroop, A Foong, R Turner
Advances in Neural Information Processing Systems 34, 25412-25426, 2021
42021
A Note on the Chernoff Bound for Random Variables in the Unit Interval
AYK Foong, WP Bruinsma, DR Burt
arXiv preprint arXiv:2205.07880, 2022
12022
Evaluating Approximate Inference in Bayesian Deep Learning
AG Wilson, P Izmailov, MD Hoffman, Y Gal, Y Li, MF Pradier, S Vikram, ...
12021
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Articles 1–12