Overview
Zoubin Ghahramani is a machine-learning researcher (University of Cambridge; formerly VP of AI at Uber, later Google DeepMind), a leading figure in Bayesian machine learning and probabilistic modelling.
Key Contributions / Features
- Dropout as Bayesian approximation (Gal-Ghahramani 2016): with Gal, the variational-inference view of dropout.
- Foundational work on Bayesian nonparametrics (Indian Buffet Process), variational inference, EM/factorial models, and automatic statistician / probabilistic programming.
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