Hong Ge / 葛洪
Hong Ge / 葛洪
Senior Research Fellow / Group Leader, Cambridge University
Verified email at cam.ac.uk - Homepage
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
3212021
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
2042013
Turing: a language for flexible probabilistic inference
H Ge, K Xu, Z Ghahramani
Proceedings of the Twenty-First International Conference on Artificial …, 2018
1132018
The effectiveness of eight nonpharmaceutical interventions against COVID-19 in 41 countries
JM Brauner, S Mindermann, M Sharma, AB Stephenson, T Gavenčiak, ...
MedRxiv, 2020
422020
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
382015
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
232019
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
Turing: Composable inference for probabilistic programming.
H Ge, K Xu, Z Ghahramani
AISTATS 84, 1682-1690, 2018
182018
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http://mlg.eng.cam.ac.uk/hong/unpublished/nips-review-model.pdf, 2013
152013
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
42019
Graph Tracking in Dynamic Probabilistic Programs via Source Transformations
P Gabler, M Trapp, H Ge, F Pernkopf
Symposium on Advances in Approximate Bayesian Inference, 2019
22019
Interoperability of statistical models in pandemic preparedness: principles and reality
G Nicholson, M Blangiardo, M Briers, PJ Diggle, TE Fjelde, H Ge, ...
arXiv preprint arXiv:2109.13730, 2021
12021
DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models
M Tarek, K Xu, M Trapp, H Ge, Z Ghahramani
PROBPROG 2020, 2020
12020
Sampling and inference for discrete random probability measures in probabilistic programs
B Bloem-Reddy, E Mathieu, A Foster, T Rainforth, YW Teh, H Ge, ...
NIPS Workshop on Advances in Approximate Bayesian Inference, 2017
12017
Couplings for Multinomial Hamiltonian Monte Carlo
K Xu, TE Fjelde, C Sutton, H Ge
International Conference on Artificial Intelligence and Statistics, 3646-3654, 2021
2021
Bijectors.jl: Flexible transformations for probability distributions
TE Fjelde, K Xu, M Tarek, S Yalburgi, H Ge
Symposium on Advances in Approximate Bayesian Inference, 2019
2019
Dirichlet Fragmentation Processes
H Ge, Y Gal, Z Ghahramani
arXiv preprint arXiv:1509.04781, 2015
2015
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Articles 1–17