Thomas L. Griffiths

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

When does the majority rule? Preschoolers' trust in majority informants varies by task domain.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Inferring mass in complex physical scenes via probabilistic simulation.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Approximating Bayesian inference with a sparse distributed memory system.

[BibT_eX]

[DOI]

Jessica B. Hamrick

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012

Testing the Efficiency of Markov Chain Monte Carlo With People Using Facial Affect Categories.

[BibT_eX]

[DOI]

Jay B. Martin

Adam Sanborn

Cogn. Sci., 2012

"Burn-in, bias, and the rationality of anchoring".

[BibT_eX]

[DOI]

Falk Lieder

Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Human memory search as a random walk in a semantic network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Inferring learners' knowledge from observed actions.

[BibT_eX]

[DOI]

Anna N. Rafferty

Michelle M. LaMar

Proceedings of the 5th International Conference on Educational Data Mining, 2012

Determining people's expectations about the form of causal relationships.

[BibT_eX]

[DOI]

Saiwing Yeung

Christopher G. Lucas

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Optimally Designing Games for Cognitive Science Research.

[BibT_eX]

[DOI]

Anna N. Rafferty

Matei Zaharia

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Elements of a rational framework for continuous-time causal induction.

[BibT_eX]

[DOI]

Michael Pacer

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Connecting input filtering and selection in language evolution.

[BibT_eX]

[DOI]

Luke Maurits

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

A Bayesian Model of Rule Induction in Raven's Progressive Matrices.

[BibT_eX]

[DOI]

Daniel R. Little

Stephan Lewandowsky

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Identifying representations of categories of discrete items using Markov chain Monte Carlo with People.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Comparing the inductive biases of simple neural networks and Bayesian models.

[BibT_eX]

[DOI]

Vincent G. Berthiaume

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Thirty years of Marr's Vision: Levels of Analysis in Cognitive Science.

[BibT_eX]

[DOI]

Chris Eliasmith

Valerie Gray Hardcastle

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Do I know that you know what you know? Modeling testimony in causal inference.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Look-Ahead Monte Carlo with People.

[BibT_eX]

[DOI]

Charles Blundell

Adam Sanborn

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Predicting focal colors with a rational model of representativeness.

[BibT_eX]

[DOI]

Terry Regier

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Constructing a hypothesis space from the Web for large-scale Bayesian word learning.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

The Indian Buffet Process: An Introduction and Review.

[BibT_eX]

[DOI]

Zoubin Ghahramani

J. Mach. Learn. Res., 2011

Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Bayes and Blickets: Effects of Knowledge on Causal Induction in Children and Adults.

[BibT_eX]

[DOI]

Cogn. Sci., 2011

Seeking Confirmation Is Rational for Deterministic Hypotheses.

[BibT_eX]

[DOI]

Cogn. Sci., 2011

A rational model of causal inference with continuous causes.

[BibT_eX]

[DOI]

Michael Pacer

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

An ideal observer model for identifying the reference frame of objects.

[BibT_eX]

[DOI]

Abram L. Friesen

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Testing a Bayesian Measure of Representativeness Using a Large Image Database.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Estimating human priors on causal strength.

[BibT_eX]

[DOI]

Saiwing Yeung

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

A Bayesian model of navigation in squirrels.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

From preferences to choices and back again: evidence for human inconsistency and its implications.

[BibT_eX]

[DOI]

Christopher G. Lucas

Charles Kemp

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Young Toddlers' Understanding of Graded Preferences.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Discovering Inductive Biases in Categorization through Iterated Learning.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Segmenting and Recognizing Human Action using Low-level Video Features.

[BibT_eX]

[DOI]

Daphna Buchsbaum

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

A Simple Sequential Algorithm for Approximating Bayesian Inference.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Grow your own representations: Computational constructivism.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Exploring the influence of particle filter parameters on order effects in causal learning.

[BibT_eX]

[DOI]

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Faster Teaching by POMDP Planning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

Exploring the Relationship Between Learnability and Linguistic Universals.

[BibT_eX]

[DOI]

Anna N. Rafferty

Marc Ettlinger

Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics, 2011

A Nonparametric Bayesian Model of Multi-Level Category Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Learning author-topic models from text corpora.

[BibT_eX]

[DOI]

Michal Rosen-Zvi

Chaitanya Chemudugunta

Padhraic Smyth

Mark Steyvers

ACM Trans. Inf. Syst., 2010

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

[BibT_eX]

[DOI]

David M. Blei

Michael I. Jordan

J. ACM, 2010

Learning the Form of Causal Relationships Using Hierarchical Bayesian Models.

[BibT_eX]

[DOI]

Christopher G. Lucas

Cogn. Sci., 2010

Learning invariant features using the Transformed Indian Buffet Process.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process.

[BibT_eX]

[DOI]

Mikhail M. Shashkov

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Online Inference of Topics with Latent Dirichlet Allocation.

[BibT_eX]

[DOI]

Lei Shi

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

The Wisdom of Individuals: Exploring People's Knowledge About Everyday Events Using Iterated Learning.

[BibT_eX]

[DOI]

Stephan Lewandowsky

Michael L. Kalish

Cogn. Sci., 2009

Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling.

[BibT_eX]

[DOI]

Lei Shi

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Nonparametric Latent Feature Models for Link Prediction.

[BibT_eX]

[DOI]

Kurt T. Miller

Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning.

[BibT_eX]

[DOI]

Anne S. Hsu

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Improved Reconstruction of Protolanguage Word Forms.

[BibT_eX]

[DOI]

Alexandre Bouchard-Côté

Dan Klein

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Connecting human and machine learning via probabilistic models of cognition.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2009, 2009

2008

A Probabilistic Model of Meetings That Combines Words and Discourse Features.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2008

Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach.

[BibT_eX]

[DOI]

Daniel J. Navarro

Neural Comput., 2008

Using Category Structures to Test Iterated Learning as a Method for Identifying Inductive Biases.

[BibT_eX]

[DOI]

Brian R. Christian

Michael L. Kalish

Cogn. Sci., 2008

A Rational Analysis of Rule-Based Concept Learning.

[BibT_eX]

[DOI]

Cogn. Sci., 2008

The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for Latent Features.

[BibT_eX]

[DOI]

Kurt T. Miller

Michael I. Jordan

Proceedings of the UAI 2008, 2008

How memory biases affect information transmission: A rational analysis of serial reproduction.

[BibT_eX]

[DOI]

Jing Xu

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A rational model of preference learning and choice prediction by children.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Modeling the effects of memory on human online sentence processing with particle filters.

[BibT_eX]

[DOI]

Roger P. Levy

Florencia Reali

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Modeling human function learning with Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Analyzing human feature learning as nonparametric Bayesian inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Parametric Embedding for Class Visualization.

[BibT_eX]

[DOI]

Neural Comput., 2007

Language Evolution by Iterated Learning With Bayesian Agents.

[BibT_eX]

[DOI]

Michael L. Kalish

Cogn. Sci., 2007

Markov Chain Monte Carlo with People.

[BibT_eX]

[DOI]

Adam Sanborn

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Probabilistic Approach to Language Change.

[BibT_eX]

[DOI]

Alexandre Bouchard-Côté

Percy Liang

Dan Klein

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Bayesian Inference for PCFGs via Markov Chain Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

A Probabilistic Approach to Diachronic Phonology.

[BibT_eX]

[DOI]

Alexandre Bouchard-Côté

Percy Liang

Dan Klein

Proceedings of the EMNLP-CoNLL 2007, 2007

A fully Bayesian approach to unsupervised part-of-speech tagging.

[BibT_eX]

[DOI]

Proceedings of the ACL 2007, 2007

2006

A Non-Parametric Bayesian Method for Inferring Hidden Causes.

[BibT_eX]

[DOI]

Frank D. Wood

Zoubin Ghahramani

Proceedings of the UAI '06, 2006

Structured Priors for Structure Learning.

[BibT_eX]

[DOI]

Proceedings of the UAI '06, 2006

Particle Filtering for Nonparametric Bayesian Matrix Factorization.

[BibT_eX]

[DOI]

Frank D. Wood

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments.

[BibT_eX]

[DOI]

Daniel J. Navarro

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Unsupervised Topic Modelling for Multi-Party Spoken Discourse.

[BibT_eX]

[DOI]

Proceedings of the ACL 2006, 2006

Contextual Dependencies in Unsupervised Word Segmentation.

[BibT_eX]

[DOI]

Proceedings of the ACL 2006, 2006

Learning Systems of Concepts with an Infinite Relational Model.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

Infinite latent feature models and the Indian buffet process.

[BibT_eX]

[DOI]

Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Interpolating between types and tokens by estimating power-law generators.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

The 2005 PASCAL Visual Object Classes Challenge.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning Challenges, 2005

2004

The Author-Topic Model for Authors and Documents.

[BibT_eX]

[DOI]

Proceedings of the UAI '04, 2004

Integrating Topics and Syntax.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Probabilistic author-topic models for information discovery.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003

Semi-Supervised Learning with Trees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

From Algorithmic to Subjective Randomness.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Hierarchical Topic Models and the Nested Chinese Restaurant Process.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Theory-Based Causal Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Prediction and Semantic Association.

[BibT_eX]

[DOI]

Mark Steyvers

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Dynamical Causal Learning.

[BibT_eX]

[DOI]

David Danks

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Using Vocabulary Knowledge in Bayesian Multinomial Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Structure Learning in Human Causal Induction.

[BibT_eX]

[DOI]