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All publications by Thomas L. Griffiths
authors venues years



Human memory search as a random walk in a semantic network
Joseph L. Austerweil, Joshua T. Abbott and Thomas L. Griffiths
Advances in Neural Information Processing Systems 25, 2012


"Burn-in, bias, and the rationality of anchoring"
Falk Lieder, Noah Goodman and Thomas L. Griffiths
Advances in Neural Information Processing Systems 25, 2012


A rational model of causal inference with continuous causes
Thomas L. Griffiths and Michael James
Advances in Neural Information Processing Systems 24, 2011


Testing a Bayesian Measure of Representativeness Using a Large Image Database
Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani and Thomas L. Griffiths
Advances in Neural Information Processing Systems 24, 2011


An ideal observer model for identifying the reference frame of objects
Joseph L. Austerweil, Abram L. Friesen and Thomas L. Griffiths
Advances in Neural Information Processing Systems 24, 2011


Learning invariant features using the Transformed Indian Buffet Process
Joseph L. Austerweil and Thomas L. Griffiths
Advances in Neural Information Processing Systems 23, 2010


Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling
Lei Shi and Thomas L. Griffiths
Advances in Neural Information Processing Systems 22, 2009


Nonparametric Latent Feature Models for Link Prediction
Kurt Miller, Michael I. Jordan and Thomas L. Griffiths
Advances in Neural Information Processing Systems 22, 2009


Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning
Anne Hsu and Thomas L. Griffiths
Advances in Neural Information Processing Systems 22, 2009


Online Inference of Topics with Latent Dirichlet Allocation
Kevin R. Canini, Lei Shi and Thomas L. Griffiths
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Analyzing human feature learning as nonparametric Bayesian inference
Thomas L. Griffiths and Joseph L. Austerweil
Advances in Neural Information Processing Systems 21, 2008


A rational model of preference learning and choice prediction by children
Christopher G. Lucas, Thomas L. Griffiths, Fei Xu and Christine Fawcett
Advances in Neural Information Processing Systems 21, 2008


Modeling human function learning with Gaussian processes
Thomas L. Griffiths, Chris Lucas, Joseph Williams and Michael L. Kalish
Advances in Neural Information Processing Systems 21, 2008


Modeling the effects of memory on human online sentence processing with particle filters
Roger P. Levy, Florencia Reali and Thomas L. Griffiths
Advances in Neural Information Processing Systems 21, 2008


How memory biases affect information transmission: A rational analysis of serial reproduction
Jing Xu and Thomas L. Griffiths
Advances in Neural Information Processing Systems 21, 2008


A Probabilistic Approach to Language Change
Alexandre Bouchard-côté, Percy Liang, Dan Klein and Thomas L. Griffiths
Advances in Neural Information Processing Systems 20, 2007


Markov Chain Monte Carlo with People
Adam Sanborn and Thomas L. Griffiths
Advances in Neural Information Processing Systems 20, 2007


Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models
Mark Johnson, Thomas L. Griffiths and Sharon Goldwater
Advances in Neural Information Processing Systems 19, 2006


Particle Filtering for Nonparametric Bayesian Matrix Factorization
Frank Wood and Thomas L. Griffiths
Advances in Neural Information Processing Systems 19, 2006


A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments
Daniel J. Navarro and Thomas L. Griffiths
Advances in Neural Information Processing Systems 19, 2006


Interpolating between types and tokens by estimating power-law generators
Sharon Goldwater, Mark Johnson and Thomas L. Griffiths
Advances in Neural Information Processing Systems 18, 2005


Infinite latent feature models and the Indian buffet process
Zoubin Ghahramani and Thomas L. Griffiths
Advances in Neural Information Processing Systems 18, 2005


Integrating Topics and Syntax
Thomas L. Griffiths, Mark Steyvers, David M. Blei and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 17, 2004


Parametric Embedding for Class Visualization
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 17, 2004


From Algorithmic to Subjective Randomness
Thomas L. Griffiths and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 16, 2003


Semi-Supervised Learning with Trees
Charles Kemp, Thomas L. Griffiths, Sean Stromsten and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 16, 2003


Hierarchical Topic Models and the Nested Chinese Restaurant Process
Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum and David M. Blei
Advances in Neural Information Processing Systems 16, 2003


Dynamical Causal Learning
David Danks, Thomas L. Griffiths and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 15, 2002


Theory-Based Causal Inference
Joshua B. Tenenbaum and Thomas L. Griffiths
Advances in Neural Information Processing Systems 15, 2002


Prediction and Semantic Association
Thomas L. Griffiths and Mark Steyvers
Advances in Neural Information Processing Systems 15, 2002