# T. Griffiths

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- Publications
- Influence

Infinite latent feature models and the Indian buffet process

- T. Griffiths, Zoubin Ghahramani
- Computer Science
- NIPS
- 5 December 2005

We define a probability distribution over equivalence classes of binary matrices with a finite number of rows and an unbounded number of columns. This distribution is suitable for use as a prior in… Expand

The Author-Topic Model for Authors and Documents

- M. Rosen-Zvi, T. Griffiths, M. Steyvers, Padhraic Smyth
- Computer Science, Mathematics
- UAI
- 7 July 2004

We introduce the author-topic model, a generative model for documents that extends Latent Dirichlet Allocation (LDA; Blei, Ng, & Jordan, 2003) to include authorship information. Each author is… Expand

Hierarchical Topic Models and the Nested Chinese Restaurant Process

- D. Blei, T. Griffiths, Michael I. Jordan, J. Tenenbaum
- Computer Science
- NIPS
- 9 December 2003

We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We take a Bayesian… Expand

Topics in semantic representation.

- T. Griffiths, M. Steyvers, J. Tenenbaum
- Computer Science, Medicine
- Psychological review
- 1 April 2007

Processing language requires the retrieval of concepts from memory in response to an ongoing stream of information. This retrieval is facilitated if one can infer the gist of a sentence,… Expand

Learning Systems of Concepts with an Infinite Relational Model

- Charles Kemp, J. Tenenbaum, T. Griffiths, T. Yamada, N. Ueda
- Computer Science
- AAAI
- 16 July 2006

Relationships between concepts account for a large proportion of semantic knowledge. We present a nonparametric Bayesian model that discovers systems of related concepts. Given data involving several… Expand

The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies

- D. Blei, T. Griffiths, Michael I. Jordan
- Mathematics, Computer Science
- JACM
- 3 October 2007

We present the nested Chinese restaurant process (nCRP), a stochastic process that assigns probability distributions to ensembles of infinitely deep, infinitely branching trees. We show how this… Expand

The Indian Buffet Process: An Introduction and Review

- T. Griffiths, Zoubin Ghahramani
- Mathematics, Computer Science
- J. Mach. Learn. Res.
- 1 February 2011

The Indian buffet process is a stochastic process defining a probability distribution over equivalence classes of sparse binary matrices with a finite number of rows and an unbounded number of… Expand

Probabilistic author-topic models for information discovery

- M. Steyvers, Padhraic Smyth, M. Rosen-Zvi, T. Griffiths
- Computer Science
- KDD '04
- 22 August 2004

We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic process. Each author is… Expand

A Bayesian framework for word segmentation: Exploring the effects of context

- S. Goldwater, T. Griffiths, Mark I. Johnson
- Psychology, Medicine
- Cognition
- 1 July 2009

Since the experiments of Saffran et al. [Saffran, J., Aslin, R., & Newport, E. (1996). Statistical learning in 8-month-old infants. Science, 274, 1926-1928], there has been a great deal of interest… Expand