Hong Ge
TitleCited byYear
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
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
Turing: a language for flexible probabilistic inference
H Ge, K Xu, Z Ghahramani
Proceedings of the Twenty-First International Conference on Artificial …, 2018
Particle Gibbs for Infinite Hidden Markov Models
N Tripuraneni, S Gu, H Ge, Z Ghahramani
Advances in Neural Information Processing Systems, 2395-2403, 2015
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http://mlg.eng.cam.ac.uk/hong/unpublished/nips-review-model.pdf, 2013
Sampling and inference for discrete random probability measures in probabilistic programs
B Bloem-Reddy, E Mathieu, A Foster, T Rainforth, H Ge, M Lomelí, ...
NIPS Workshop on Advances in Approximate Bayesian Inference, 2017
Dirichlet Fragmentation Processes
H Ge, Y Gal, Z Ghahramani
arXiv preprint arXiv:1509.04781, 2015
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