---
title: "Yee Whye Teh — all works — Elamur Research"
description: "All 35 works of Yee Whye Teh in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/yee-whye-teh/works/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yee-whye-teh/works/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yee Whye Teh](https://md.research.elamur.ai/free/en/authors/yee-whye-teh/) / all works

# Yee Whye Teh — all works

35 works · [← Yee Whye Teh](https://md.research.elamur.ai/free/en/authors/yee-whye-teh/)

1. **[Hierarchical Dirichlet Processes ↗](https://doi.org/10.1198/016214506000000302) Journal of the American Statistical Association 101 · no summary yet**Yee Whye Teh et al.*2006 · 3,627 citations*
2. [**The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables arXiv:1611.00712**Chris J. Maddison, Andriy Mnih, Yee Whye Teh*2016 · 1,629 citations*](https://md.research.elamur.ai/free/en/papers/maddison-2016-concrete-distribution-continuous-relaxation-discrete/)
3. **[Bayesian Learning via Stochastic Gradient Langevin Dynamics ↗](https://openalex.org/W2167433878) no summary yet**Max Welling, Yee Whye Teh*2012 · 1,405 citations*
4. **[A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes](https://md.research.elamur.ai/free/en/papers/teh-2006-hierarchical-bayesian-language-model-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yee Whye Teh*2006 · 575 citations*
5. **[A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation ↗](https://doi.org/10.21236/ada629956) no summary yet**Yee Whye Teh, David J. Newman, Max Welling*2007 · 504 citations*
6. **[Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes ↗](https://openalex.org/W2100163972) no summary yet**Yee Whye Teh et al.*2004 · 440 citations*
7. **[On Smoothing and Inference for Topic Models ↗](https://arxiv.org/abs/1205.2662) arXiv (Cornell University) · no summary yet**Arthur Asuncion et al.*2012 · 435 citations*
8. **[A Fast and Simple Algorithm for Training Neural Probabilistic Language Models ↗](https://arxiv.org/abs/1206.6426) arXiv:1206.6426 · In Proceedings of the 29th International Conference on Machine Learning, pages 1751-1758, 2012 · no summary yet**Andriy Mnih, Yee Whye Teh*2012 · 408 citations*
9. **[Progress & Compress: A scalable framework for continual learning ↗](https://arxiv.org/abs/1805.06370) arXiv:1805.06370 · no summary yet**Jonathan Schwarz et al.*2018 · 338 citations*
10. **[Collapsed variational Dirichlet process mixture models ↗](https://openalex.org/W1833498382) no summary yet**Kenichi Kurihara, Max Welling, Yee Whye Teh*2007 · 168 citations*
11. **[Collapsed Variational Inference for HDP ↗](https://openalex.org/W2157906684) no summary yet**Yee Whye Teh, Kenichi Kurihara, Max Welling*2007 · 148 citations*
12. **[Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation ↗](https://doi.org/10.1207/s15516709cog0000_76) Cognitive Science · no summary yet**Geoffrey E. Hinton et al.*2006 · 135 citations*
13. **[A stochastic memoizer for sequence data ↗](https://doi.org/10.1145/1553374.1553518) International Conference on Machine Learning · no summary yet**Frank Wood et al.*2009 · 103 citations*
14. **[SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning ↗](https://arxiv.org/abs/2308.00436) arXiv:2308.00436 · no summary yet**Ning Miao, Yee Whye Teh, Tom Rainforth*2023 · 101 citations*
15. **[Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation ↗](https://arxiv.org/abs/1301.2317) arXiv (Cornell University) · no summary yet**Max Welling, Yee Whye Teh*2013 · 98 citations*
16. **[Energy-Based Models for Sparse Overcomplete Representations ↗](https://openalex.org/W6990768437) no summary yet**Yee Whye Teh et al.*2003 · 53 citations*
17. **[The Unified Propagation and Scaling Algorithm ↗](https://openalex.org/W2168205753) no summary yet**Yee Whye Teh, Max Welling*2001 · 45 citations*
18. **[Linear Response Algorithms for Approximate Inference in Graphical Models ↗](https://doi.org/10.1162/08997660460734056) Neural Computation · no summary yet**Max Welling, Yee Whye Teh*2004 · 41 citations*
19. **[Structured Region Graphs: Morphing EP into GBP ↗](https://arxiv.org/abs/1207.1426) arXiv (Cornell University) · no summary yet**Max Welling, Thomas P. Minka, Yee Whye Teh*2012 · 35 citations*
20. **[Attentive Neural Processes ↗](https://arxiv.org/abs/1901.05761) arXiv (Cornell University) · no summary yet**Hyunjik Kim et al.*2019 · 33 citations*
21. **[On Improving the Efficiency of the Iterative Proportional Fitting Procedure ↗](https://openalex.org/W104351827) no summary yet**Yee Whye Teh, Max Welling*2003 · 25 citations*
22. **[Hybrid Variational/Gibbs Collapsed Inference in Topic Models ↗](https://arxiv.org/abs/1206.3297) arXiv (Cornell University) · no summary yet**Max Welling, Yee Whye Teh, Bert Kappen*2012 · 18 citations*
23. **[A New View of ICA ↗](https://openalex.org/W1654789990) no summary yet**Geoffrey E. Hinton et al.*2001 · 13 citations*
24. **[Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI ↗](https://arxiv.org/abs/2402.00809) arXiv (Cornell University) · no summary yet**Theodore Papamarkou et al.*2024 · 11 citations*
25. **[GEM: A Gym for Agentic LLMs ↗](https://arxiv.org/abs/2510.01051) arXiv (Cornell University) · no summary yet**Liu, Zichen et al.*2025 · 6 citations*
26. **[Linear Response for Approximate Inference ↗](https://openalex.org/W2154227688) no summary yet**Max Welling, Yee Whye Teh*2003 · 5 citations*
27. **[Passing and Bouncing Messages for Generalised Inference ↗](https://openalex.org/W3149366118) UCL Discovery (University College London) · no summary yet**Yee Whye Teh, Max Welling*2001 · 5 citations*
28. **[Passing And Bouncing Messages For Generalized Inference ↗](https://openalex.org/W7095834686) no summary yet**Yee Whye Teh, Max Welling*2001 · 5 citations*
29. **[Transferring Task Goals via Hierarchical Reinforcement Learning ↗](https://openalex.org/W2942204155) no summary yet**Saining Xie et al.*2018 · 3 citations*
30. **[Addendum to “Structured Region Graphs: Morphing EP into GBP” ↗](https://openalex.org/W7100106963) no summary yet**Max Welling et al.*2014*
31. **[Draft: Manuscript is subject to change! Structured Region Graphs: Morphing EP into GBP ↗](https://openalex.org/W7095297429) no summary yet**Max Welling, Yee Whye Teh, Thomas P. Minka*2014*
32. **[A New View of ICA ↗](https://openalex.org/W7099327536) no summary yet**Geoffrey 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 ↗](https://openalex.org/W7101095888) no summary yet**Yee Whye Teh, Dave Newman, Max Welling*2008*
34. **[Keywords: Advanced Mean Field Methods, Loopy Belief Propagation, ↗](https://openalex.org/W7101105208) no summary yet**Max Welling, Yee Whye Teh*2008*
35. **[Inference in Boltzmann Machines, Mean Field, TAP and Bethe Approximations ↗](https://openalex.org/W7097471978) no summary yet**Max Welling, Yee Whye Teh*2007*