University of Cambridge >  Engineering Department >  Information Engineering >  Computational and Biological Learning Lab >  Machine Learning Group >  Hong Ge

photograph of Hong Ge

Hong Ge

Senior Research Fellow
Principal Investigator
at Machine Learning Group, University of Cambridge

Research Fellow of Darwin college

TURING LANGUAGE:
Approximate Inference: Varitional Inference, Normalising Flows
Markov chain Monte Carlo: Hamiltonian Monte Carlo, Nested Sampling, Particle MCMC, Elliptical Slice Sampling, Adaptive Random Walk MH (including affine invariant MH), Convergence Diagnostics

PUBLICATIONS

GAUSSIAN PROCESSES IN JULIA

MACHINE LEARNING AT CAMBRIDGE

Hong Ge is a Senior Research Fellow in the Department of Engineering at the University of Cambridge. He studied his PhD at the University of Cambridge, under the supervision of Zoubin Ghahramani, and his Master at the University of Edinburgh, advised by Chris Williams. His PhD was funded by the Wellcome Trust and his Master by a Scotland’s Saltire Scholarship. His work is primarily in machine learning, with a focus on Bayesian inference, decision making and Bayesian nonparametrics.

Students and Postdocs

Tor Erlend Fjelde

I lead the Turing team.

News

I'm accepting students, see information for prospective students.

October, 2020. Data efficient machine learning for decision making under uncertainty (2 postdoc positions available).

May, 2019. Advances and Challenges in Machine Learning Languages (ACMLL) workshop (link).

Contact

Email: hg344 [at] cam [dot] ac [dot] uk
Phone: +44 (0)1223 762438
Department Address: Engineering Department, Trumpington Street, Cambridge CB2 1PZ, UK