Yee Whye Teh - Concepedia

Author

Yee Whye Teh

Also Known As

Di Benedetto, G, Foerster, Jakob, Pascanu, Razvan, Posner, Ingmar, Roy, DM, Teh, Y. W., Teh, Y.W., Teh, YW, Teh, Yee Whye, Tirumala, D

355

Publications

19.4K

Citations

H-Index

188

Concepts

All Affiliations

University of Oxford University College London Google (United States)Oxford Centre for Computational Neuroscience University of Cambridge

About

Yee Whye Teh is an author at University of Oxford specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	39	85	6.7K
2	Language Studies	7	7	1.1K
3	Education	3	3	380
4	Management	3	3	55
5	Health Sciences	1	1	89

Yee Whye Teh

155

Publications

16.8K

Citations

H-Index

Page 1

	Year	Citations
Hierarchical Dirichlet Processes Yee Whye Teh, Michael I. Jordan, Matthew J. Beal, Journal of the American Statistical Association	2006	3.5K
Bayesian Learning via Stochastic Gradient Langevin Dynamics Max Welling, Yee Whye Teh	2011	1.5K
Inferring the effectiveness of government interventions against COVID-19 Jan Brauner, Sören Mindermann, Mrinank Sharma, Science	2020	1.1K
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison, Andriy Mnih, Yee Whye Teh arXiv (Cornell University) Concrete RelaxationsMachine LearningEngineeringDiscrete Probability-Continuous Relaxations	2016	1K
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison, Andriy Mnih, Yee Whye Teh Oxford University Research Archive (ORA) (University of Oxford)	2016	618
A hierarchical Bayesian language model based on Pitman-Yor processes Yee Whye Teh EngineeringCorpus LinguisticsNatural LanguagesWord EmbeddingsNatural Language Processing	2006	500
On Smoothing and Inference for Topic Models Arthur Asuncion, Max Welling, Padhraic Smyth, arXiv (Cornell University) EngineeringTopic ModelingCorpus LinguisticsText MiningNatural Language Processing	2012	452
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes Yee Whye Teh, Michael I. Jordan, Matthew J. Beal,	2004	433
A Fast and Simple Algorithm for Training Neural Probabilistic Language Models Andriy Mnih, Yee Whye Teh arXiv (Cornell University) Structured PredictionEngineeringMachine LearningMultilingual PretrainingLarge Language Model	2012	311
Progress & Compress: A scalable framework for continual learning Jonathan Schwarz, Jelena Luketina, Wojciech Marian Czarnecki, arXiv (Cornell University) Artificial IntelligenceIncremental LearningEngineeringMachine LearningSequential Learning	2018	292

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