🧑‍🔬 Yee Whye Teh — all works

35 works · ← Yee Whye Teh

1. Hierarchical Dirichlet Processes ↗Journal of the American Statistical Association 101 · no summary yetYee Whye Teh et al.2006 · 3,627 citations
2. The Concrete Distribution: A Continuous Relaxation of Discrete Random VariablesarXiv:1611.00712Chris J. Maddison, Andriy Mnih, Yee Whye Teh2016 · 1,629 citations
3. Bayesian Learning via Stochastic Gradient Langevin Dynamics ↗no summary yetMax Welling, Yee Whye Teh2012 · 1,405 citations
4. A Hierarchical Bayesian Language Model Based On Pitman-Yor ProcessesAnnual Meeting of the Association for Computational Linguistics (ACL)Yee Whye Teh2006 · 575 citations
5. A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation ↗no summary yetYee Whye Teh, David J. Newman, Max Welling2007 · 504 citations
6. Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes ↗no summary yetYee Whye Teh et al.2004 · 440 citations
7. On Smoothing and Inference for Topic Models ↗arXiv (Cornell University) · no summary yetArthur Asuncion et al.2012 · 435 citations
8. A Fast and Simple Algorithm for Training Neural Probabilistic Language Models ↗arXiv:1206.6426 · In Proceedings of the 29th International Conference on Machine Learning, pages 1751-1758, 2012 · no summary yetAndriy Mnih, Yee Whye Teh2012 · 408 citations
9. Progress & Compress: A scalable framework for continual learning ↗arXiv:1805.06370 · no summary yetJonathan Schwarz et al.2018 · 338 citations
10. Collapsed variational Dirichlet process mixture models ↗no summary yetKenichi Kurihara, Max Welling, Yee Whye Teh2007 · 168 citations
11. Collapsed Variational Inference for HDP ↗no summary yetYee Whye Teh, Kenichi Kurihara, Max Welling2007 · 148 citations
12. Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation ↗Cognitive Science · no summary yetGeoffrey E. Hinton et al.2006 · 135 citations
13. A stochastic memoizer for sequence data ↗International Conference on Machine Learning · no summary yetFrank Wood et al.2009 · 103 citations
14. SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning ↗arXiv:2308.00436 · no summary yetNing Miao, Yee Whye Teh, Tom Rainforth2023 · 101 citations
15. Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation ↗arXiv (Cornell University) · no summary yetMax Welling, Yee Whye Teh2013 · 98 citations
16. Energy-Based Models for Sparse Overcomplete Representations ↗no summary yetYee Whye Teh et al.2003 · 53 citations
17. The Unified Propagation and Scaling Algorithm ↗no summary yetYee Whye Teh, Max Welling2001 · 45 citations
18. Linear Response Algorithms for Approximate Inference in Graphical Models ↗Neural Computation · no summary yetMax Welling, Yee Whye Teh2004 · 41 citations
19. Structured Region Graphs: Morphing EP into GBP ↗arXiv (Cornell University) · no summary yetMax Welling, Thomas P. Minka, Yee Whye Teh2012 · 35 citations
20. Attentive Neural Processes ↗arXiv (Cornell University) · no summary yetHyunjik Kim et al.2019 · 33 citations
21. On Improving the Efficiency of the Iterative Proportional Fitting Procedure ↗no summary yetYee Whye Teh, Max Welling2003 · 25 citations
22. Hybrid Variational/Gibbs Collapsed Inference in Topic Models ↗arXiv (Cornell University) · no summary yetMax Welling, Yee Whye Teh, Bert Kappen2012 · 18 citations
23. A New View of ICA ↗no summary yetGeoffrey E. Hinton et al.2001 · 13 citations
24. Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI ↗arXiv (Cornell University) · no summary yetTheodore Papamarkou et al.2024 · 11 citations
25. GEM: A Gym for Agentic LLMs ↗arXiv (Cornell University) · no summary yetLiu, Zichen et al.2025 · 6 citations
26. Linear Response for Approximate Inference ↗no summary yetMax Welling, Yee Whye Teh2003 · 5 citations
27. Passing and Bouncing Messages for Generalised Inference ↗UCL Discovery (University College London) · no summary yetYee Whye Teh, Max Welling2001 · 5 citations
28. Passing And Bouncing Messages For Generalized Inference ↗no summary yetYee Whye Teh, Max Welling2001 · 5 citations
29. Transferring Task Goals via Hierarchical Reinforcement Learning ↗no summary yetSaining Xie et al.2018 · 3 citations
30. Addendum to “Structured Region Graphs: Morphing EP into GBP” ↗no summary yetMax Welling et al.2014
31. Draft: Manuscript is subject to change! Structured Region Graphs: Morphing EP into GBP ↗no summary yetMax Welling, Yee Whye Teh, Thomas P. Minka2014
32. A New View of ICA ↗no summary yetGeoffrey E. Hinton et al.2008
33. THIS IS A DRAFT VERSION. FINAL VERSION TO BE PUBLISHED AT NIPS ’06 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation ↗no summary yetYee Whye Teh, Dave Newman, Max Welling2008
34. Keywords: Advanced Mean Field Methods, Loopy Belief Propagation, ↗no summary yetMax Welling, Yee Whye Teh2008
35. Inference in Boltzmann Machines, Mean Field, TAP and Bethe Approximations ↗no summary yetMax Welling, Yee Whye Teh2007

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