Jiri Hron
Jiri Hron
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
Concrete dropout
Y Gal, J Hron, A Kendall
NeurIIPS 2017, 2017
1672017
Gaussian process behaviour in wide deep neural networks
AGG Matthews, M Rowland, J Hron, RE Turner, Z Ghahramani
ICLR 2018, 2018
104*2018
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
R Novak, L Xiao, Y Bahri, J Lee, G Yang, J Hron, DA Abolafia, ...
ICLR 2019, 2019
532019
Variational Bayesian dropout: pitfalls and fixes
J Hron, AGG Matthews, Z Ghahramani
ICML 2018, 2018
202018
Variational Gaussian Dropout is not Bayesian
J Hron, AGG Matthews, Z Ghahramani
Bayesian Deep Learning workshop (NeurIPS 2017), 2017
132017
Orthogonal Estimation of Wasserstein Distances
M Rowland*, J Hron*, Y Tang*, K Choromanski, T Sarlos, A Weller
AISTATS 2019, 2019
52019
Neural Tangents: Fast and Easy Infinite Neural Networks in Python
R Novak, L Xiao, J Hron, J Lee, AA Alemi, J Sohl-Dickstein, ...
ICLR 2020, 2020
22020
Successor Uncertainties: exploration and uncertainty in temporal difference learning
D Janz*, J Hron*, JM Hernández-Lobato, K Hofmann, S Tschiatschek
NeurIPS 2019, 2019
22019
Sample-then-optimize posterior sampling for Bayesian linear models
AGG Matthews, J Hron, RE Turner, Z Ghahramani
Advances in Approximate Bayesian Inference workshop (NeurIPS 2017), 2017
2017
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Articles 1–9