Yee Whye Teh University of Oxford

4 publications

15,413 citations

Yee Whye Teh is a Professor of Statistical Machine Learning in the Department of Statistics at the University of Oxford. Prior to 2012 he was a reader at the Gatsby Computational Neuroscience Unit at University College London. His work is primarily in machine learning.

https://www.stats.ox.ac.uk/~teh/

Interests / Fields

Artificial intelligence Mathematics Algorithm Artificial neural network Computer science Generative model Boltzmann machine Greedy algorithm Content-addressable memory Deep belief network Restricted Boltzmann machine Convolutional Deep Belief Networks Machine learning Dirichlet distribution Mixture model Latent Dirichlet allocation Dirichlet process Hierarchical Dirichlet process Pitman–Yor process Inference

Publications List

Publication Statistics

303

Total Publications

SG+ML Publications

Publications authored while based in Singapore within AI/ML-related areas.

38,223

Total Estimated Citations

Estimated citations uses a statistical model that leverages both local statistics of the publication and global statistics of the entire academic graph (from MAG).

15,413

SG+ML Estimated Citations

23,103

Total Citations

9,961