Yee Whye Teh
artificial intelligence researcher
Facts
17 properties- Instance of
- human
- Date of birth
- September 12, 1977
- Place of birth
- Malaysia
- Employer
- University of Oxford, Google, University College London, National University of Singapore, University of California, Berkeley[6][7]
- Educated at
- University of Waterloo, University of Toronto[8][9]
- Official website
- www.stats.ox.ac.uk[20]
- Doctoral advisor
- Geoffrey Hinton[10]
- Doctoral student
- Lloyd T. Elliott, Vinayak A. P. Rao, Chris J. Maddison, Xenia Miscouridou, Aidan N. Gomez[13][14][15][16][17]
- Birth name
- 郑宇怀[22]
- Maintained by WikiProject
- WikiProject Mathematics[23]
- Residence
- United Kingdom[18]
- Social media followers
- +22382[24]
🏷️ Also known as
en Yee Whye Teh
uk Ю Хуай Тее
zh 郑宇怀
🔖 Identifiers · 16
- ISNI
- 0000000017986954
- ORCID iD
- 0000-0001-5365-6933
- VIAF cluster ID
- 11010106
- GND ID
- 13254394X
- ACM Digital Library author ID
- 81100324628
- Academic Tree ID
- 155348
- DBLP author ID
- 88/2483
- Freebase ID
- /m/0d22bs2
- Gateway to Research person ID
- 14D8EC0F-B4FA-4C50-9AE6-8E3672E6A2C8
- Google Scholar author ID
- y-nUzMwAAAAJ
- IdRef ID
- 203820673
- MR Author ID
- 711339
Show all 16 identifiers +4
- Mathematics Genealogy Project ID
- 83528
- ResearcherID
- D-1475-2016
- X (Twitter) username
- yeewhye
- ZbMATH author ID
- teh.yee-whye
🔗 Connections
Author of 29
An Analysis of Categorical Distributional Reinforcement Learning,
Causal Inference via Kernel Deviance Measures,
Continual Unsupervised Representation Learning,
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders,
DeepC: predicting 3D genome folding using megabase-scale transfer learning,
Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality.,
Distral: Robust Multitask Reinforcement Learning,
DR-ABC: approximate Bayesian computation with kernel-based distribution regression
+21 more
← Authored by 29
An Analysis of Categorical Distributional Reinforcement Learning,
Causal Inference via Kernel Deviance Measures,
Continual Unsupervised Representation Learning,
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders,
DeepC: predicting 3D genome folding using megabase-scale transfer learning,
Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality.,
Distral: Robust Multitask Reinforcement Learning,
DR-ABC: approximate Bayesian computation with kernel-based distribution regression
+21 more
Affiliated with 3
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Summary
Yee Whye Teh was born on September 12, 1977[1], in Malaysia[2]. He has worked as a statistician[3], artificial intelligence researcher[4], and university teacher[5].
FAQs
Where was Yee Whye Teh born?
Yee Whye Teh's place of birth was Malaysia[2].
What did Yee Whye Teh do for work?
Yee Whye Teh worked as a statistician[3], artificial intelligence researcher[4], and university teacher[5].
Where did Yee Whye Teh go to school?
Yee Whye Teh was educated at University of Waterloo[8] and University of Toronto[9].