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Hong Ge / 葛洪
Title
Cited by
Cited by
Year
Inferring the effectiveness of government interventions against COVID-19
JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ...
Science 371 (6531), 2021
6842021
Turing: a language for flexible probabilistic inference
H Ge, K Xu, Z Ghahramani
Proceedings of the Twenty-First International Conference on Artificial …, 2018
227*2018
Transcriptional data: a new gateway to drug repositioning?
F Iorio, H Ge, T Rittman, M Menden, J Saez-Rodriguez
Drug discovery today 18 (7), 350-357, 2013
2222013
The effectiveness of eight nonpharmaceutical interventions against COVID-19 in 41 countries
JM Brauner, S Mindermann, M Sharma, AB Stephenson, T Gavenčiak, ...
MedRxiv, 2020
91*2020
Distributed Inference for Dirichlet Process Mixture Models
H Ge, Y Chen, M Wang, Z Ghahramani
The 32nd International Conference on Machine Learning, 2276-2284, 2015
432015
Bayesian learning of sum-product networks
M Trapp, R Peharz, H Ge, F Pernkopf, Z Ghahramani
Advances in Neural Information Processing Systems, 6347-6358, 2019
302019
A Bayesian model for calibrating conference review scores
H Ge, M Welling, Z Ghahramani
http://mlg.eng.cam.ac.uk/hong/unpublished/nips-review-model.pdf, 2013
24*2013
Particle Gibbs for Infinite Hidden Markov Models
N Tripuraneni, S Gu, H Ge, Z Ghahramani
Advances in Neural Information Processing Systems, 2395-2403, 2015
222015
AdvancedHMC.jl: A robust, modular and efficient implementation of advanced HMC algorithms
K Xu, H Ge, W Tebbutt, M Tarek, M Trapp, Z Ghahramani
Symposium on Advances in Approximate Bayesian Inference, 2019
16*2019
Interoperability of statistical models in pandemic preparedness: principles and reality
G Nicholson, M Blangiardo, M Briers, PJ Diggle, TE Fjelde, H Ge, ...
Statistical Science 37 (2), 183-206, 2022
12*2022
DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models
M Tarek, K Xu, M Trapp, H Ge, Z Ghahramani
arXiv preprint arXiv:2002.02702, 2020
8*2020
Couplings for Multinomial Hamiltonian Monte Carlo
K Xu, TE Fjelde, C Sutton, H Ge
International Conference on Artificial Intelligence and Statistics, 3646-3654, 2021
42021
Learning Deep Neural Networks by Iterative Linearisation
A Goldwaser, H Ge
arXiv preprint arXiv:2211.12345, 2022
2022
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees
A Terenin, DR Burt, A Artemev, S Flaxman, M van der Wilk, ...
arXiv preprint arXiv:2210.07893, 2022
2022
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Articles 1–14