Thomas L. Griffiths

According to our database1, Thomas L. Griffiths authored at least 221 papers between 2000 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

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Bibliography

2020
Multitasking Capacity: Hardness Results and Improved Constructions.
SIAM J. Discret. Math., 2020

Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation.
CoRR, 2020

Competition in Cross-situational Word Learning: A Computational Study.
CoRR, 2020

Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information.
CoRR, 2020

Meta-Learning of Compositional Task Distributions in Humans and Machines.
CoRR, 2020

Learning Rewards from Linguistic Feedback.
CoRR, 2020

Understanding Human Intelligence through Human Limitations.
CoRR, 2020

Resource-rational Task Decomposition to Minimize Planning Costs.
CoRR, 2020

End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior.
CoRR, 2020

Universal linguistic inductive biases via meta-learning.
CoRR, 2020

Analogy as Nonparametric Bayesian Inference over Relational Systems.
CoRR, 2020

Extracting low-dimensional psychological representations from convolutional neural networks.
CoRR, 2020

The Efficiency of Human Cognition Reflects Planned Information Processing.
CoRR, 2020

Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks.
CoRR, 2020

Assessing Mathematics Misunderstandings via Bayesian Inverse Planning.
Cogn. Sci., 2020

How to Be Helpful to Multiple People at Once.
Cogn. Sci., 2020

Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions.
Proceedings of the 37th International Conference on Machine Learning, 2020

Investigating representations of verb bias in neural language models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

People Do Not Just Plan, They Plan to Plan.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Scaling up Psychology via Scientific Regret Minimization: A Case Study in Moral Decision-Making.
CoRR, 2019

Capturing human categorization of natural images at scale by combining deep networks and cognitive models.
CoRR, 2019

Predicting human decisions with behavioral theories and machine learning.
CoRR, 2019

Learning How to Generalize.
Cogn. Sci., 2019

Reconciling meta-learning and continual learning with online mixtures of tasks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Utility of Learning about Humans for Human-AI Coordination.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cognitive model priors for predicting human decisions.
Proceedings of the 36th International Conference on Machine Learning, 2019

Automatically Composing Representation Transformations as a Means for Generalization.
Proceedings of the 7th International Conference on Learning Representations, 2019

Human Uncertainty Makes Classification More Robust.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Inductive Biases Constrain Cumulative Cultural Evolution.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Modeling students' fraction arithmetic strategies using inverse planning.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019


Orthogonal multi-view three-dimensional object representations in memory revealed by serial reproduction.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Automated cognitive modeling with Bayesian active model selection.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

The Computational Structure of Unintentional Meaning.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Demonstrating the Impact of Prior Knowledge in Risky Choice.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Learning deep taxonomic priors for concept learning from few positive examples.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

If it's important, then I am curious: A value intervention to induce curiosity.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Human-level but not human-like: Deep Reinforcement Learning in the dark.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Compositional subgoal representations.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Rational metareasoning and the plasticity of cognitive control.
PLoS Comput. Biol., 2018

Online gradient-based mixtures for transfer modulation in meta-learning.
CoRR, 2018

Adaptive Sampling for Convex Regression.
CoRR, 2018

Exploiting Effective Representations for Chinese Sentiment Analysis Using a Multi-Channel Convolutional Neural Network.
CoRR, 2018

Sensitivity to Shared Information in Social Learning.
Cogn. Sci., 2018

Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations.
Cogn. Sci., 2018

Learning to select computations.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Recasting Gradient-Based Meta-Learning as Hierarchical Bayes.
Proceedings of the 6th International Conference on Learning Representations, 2018

Investigating Human Priors for Playing Video Games.
Proceedings of the 6th International Conference on Learning Representations, 2018

Evaluating Theory of Mind in Question Answering.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Exploiting Attention to Reveal Shortcomings in Memory Models.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Learning a face space for experiments on human identity.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Representational efficiency outweighs action efficiency in human program induction.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Capturing human category representations by sampling in deep feature spaces.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Interpersonal Coordination of Perception and Memory in Real-Time Online Social Interaction.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Shaping Model-Free Habits with Model-Based Goals.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Levels of Analysis in Computational Social Science.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Modeling the Dunning-Kruger Effect: A Rational Account of Inaccurate Self-Assessment.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

A new similarity measure to reveal individual differences and growth in implicit number conceptions.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

A resource-rational analysis of human planning.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Recommendation as Generalization: Evaluating Cognitive Models In the Wild.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Leveraging deep neural networks to capture psychological representations.
CoRR, 2017

Word forms - not just their lengths- are optimized for efficient communication.
CoRR, 2017

A graph-theoretic approach to multitasking.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Pragmatic-Pedagogic Value Alignment.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Evidence for the size principle in semantic and perceptual domains.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Evaluating Vector-Space Models of Word Representation, or, The Unreasonable Effectiveness of Counting Words Near Other Words.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Inferring Intentional Agents From Violation of Randomness.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

An automatic method for discovering rational heuristics for risky choice.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Uncovering visual priors in spatial memory using serial reproduction.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Enhancing metacognitive reinforcement learning using reward structures and feedback.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Algebra is not like trivia: Evaluating self-assessment in an online math tutor.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Exploring inductive bias of visual scenes.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

How Can Memory-Augmented Neural Networks Pass a False-Belief Task?
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Empirical tests of large-scale collaborative recall.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

A rational analysis of curiosity.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Evaluating vector-space models of analogy.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Discovering simple heuristics from mental simulation.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

The Structure of Goal Systems Predicts Human Performance.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Modeling human categorization of natural images using deep feature representations.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems?
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Exploring Human Cognition Using Large Image Databases.
Top. Cogn. Sci., 2016

Natural speech reveals the semantic maps that tile human cerebral cortex.
Nat., 2016

Infant directed speech is consistent with teaching.
CoRR, 2016

A Graph-Theoretic Approach to Multitasking.
CoRR, 2016

Formalizing Neurath's Ship: Approximate Algorithms for Online Causal Learning.
CoRR, 2016

Faster Teaching via POMDP Planning.
Cogn. Sci., 2016

Generating Plans that Predict Themselves.
Proceedings of the Algorithmic Foundations of Robotics XII, 2016

Using Inverse Planning for Personalized Feedback.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Design from Zeroth Principles.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Wallace: Automating Cultural Evolution Experiments Through Crowdsourcing.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Deciding to Remember: Memory Maintenance as a Markov Decision Process.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Adapting Deep Network Features to Capture Psychological Representations.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Do Simple Probability Judgments Rely on Integer Approximation?
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Helping people make better decisions using optimal gamification.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

The Emergence of Conventions.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Lexical Complexity of Child-Directed and Overheard Speech: Implications for Learning.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

The Sapir-Whorf Hypothesis and Probabilistic Inference: Evidence from the Domain of Color.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic.
Top. Cogn. Sci., 2015

Inferring Learners' Knowledge From Their Actions.
Cogn. Sci., 2015

Children search for information as efficiently as adults, but seek additional confirmatory evidence.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Upsetting the contingency table: Causal induction over sequences of point events.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

What the Baldwin Effect affects.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

A Bayesian Framework for Learning Words From Multiword Utterances.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Generative and Discriminative Models in Cognitive Science.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Children and adults differ in their strategies for social learning.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

When to use which heuristic: A rational solution to the strategy selection problem.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Can children balance the size of a majority with the quality of their information?
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Think again? The amount of mental simulation tracks uncertainty in the outcome.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Interpreting Freeform Equation Solving.
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014
Tracing the roots of syntax with Bayesian phylogenetics.
Proc. Natl. Acad. Sci. USA, 2014

One and Done? Optimal Decisions From Very Few Samples.
Cogn. Sci., 2014

Analyzing the Rate at Which Languages Lose the Influence of a Common Ancestor.
Cogn. Sci., 2014

Algorithm selection by rational metareasoning as a model of human strategy selection.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Diagnosing Algebra Understanding via Bayesian Inverse Planning.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Cultural evolution with sparse testimony: when does the cultural ratchet slip?
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Caching Algorithms and Rational Models of Memory.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

A Bounded Rationality Account of Wishful Thinking.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

The Telephone Game: Exploring Inductive Biases In Naturalistic Language Use.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Moot Point Process Models.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

The high availability of extreme events serves resource-rational decision-making.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

What to simulate? Inferring the right direction for mental rotation.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Empirical Evidence for Markov Chain Monte Carlo in Memory Search.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Is Holism A Problem For Inductive Inference? A Computational Analysis.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Automated reconstruction of ancient languages using probabilistic models of sound change.
Proc. Natl. Acad. Sci. USA, 2013

The Effects of Cultural Transmission Are Modulated by the Amount of Information Transmitted.
Cogn. Sci., 2013

Evaluating computational models of explanation using human judgments.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

How do you know that? Sensitivity to statistical dependency in social learning.
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.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Inferring mass in complex physical scenes via probabilistic simulation.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Approximating Bayesian inference with a sparse distributed memory system.
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.
Cogn. Sci., 2012

"Burn-in, bias, and the rationality of anchoring".
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.
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.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

Determining people's expectations about the form of causal relationships.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Optimally Designing Games for Cognitive Science Research.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Elements of a rational framework for continuous-time causal induction.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Connecting input filtering and selection in language evolution.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

A Bayesian Model of Rule Induction in Raven's Progressive Matrices.
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.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Comparing the inductive biases of simple neural networks and Bayesian models.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Thirty years of Marr's Vision: Levels of Analysis in Cognitive Science.
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.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Look-Ahead Monte Carlo with People.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

Predicting focal colors with a rational model of representativeness.
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.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
The Indian Buffet Process: An Introduction and Review.
J. Mach. Learn. Res., 2011

Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models.
J. Mach. Learn. Res., 2011

Bayes and Blickets: Effects of Knowledge on Causal Induction in Children and Adults.
Cogn. Sci., 2011

Seeking Confirmation Is Rational for Deterministic Hypotheses.
Cogn. Sci., 2011

A rational model of causal inference with continuous causes.
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.
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.
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.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

A Bayesian model of navigation in squirrels.
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.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Young Toddlers' Understanding of Graded Preferences.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Discovering Inductive Biases in Categorization through Iterated Learning.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Segmenting and Recognizing Human Action using Low-level Video Features.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

A Simple Sequential Algorithm for Approximating Bayesian Inference.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Grow your own representations: Computational constructivism.
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.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Faster Teaching by POMDP Planning.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

Exploring the Relationship Between Learnability and Linguistic Universals.
Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics, 2011

A Nonparametric Bayesian Model of Multi-Level Category Learning.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Learning author-topic models from text corpora.
ACM Trans. Inf. Syst., 2010

The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies.
J. ACM, 2010

Learning the Form of Causal Relationships Using Hierarchical Bayesian Models.
Cogn. Sci., 2010

Learning invariant features using the Transformed Indian Buffet Process.
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.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Online Inference of Topics with Latent Dirichlet Allocation.
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.
Cogn. Sci., 2009

Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling.
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.
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.
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.
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.
Proceedings of the INTERSPEECH 2009, 2009

2008
A Probabilistic Model of Meetings That Combines Words and Discourse Features.
IEEE Trans. Speech Audio Process., 2008

Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach.
Neural Comput., 2008

Using Category Structures to Test Iterated Learning as a Method for Identifying Inductive Biases.
Cogn. Sci., 2008

A Rational Analysis of Rule-Based Concept Learning.
Cogn. Sci., 2008

The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for Latent Features.
Proceedings of the UAI 2008, 2008

How memory biases affect information transmission: A rational analysis of serial reproduction.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A rational model of preference learning and choice prediction by children.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Modeling the effects of memory on human online sentence processing with particle filters.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Modeling human function learning with Gaussian processes.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Analyzing human feature learning as nonparametric Bayesian inference.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Parametric Embedding for Class Visualization.
Neural Comput., 2007

Language Evolution by Iterated Learning With Bayesian Agents.
Cogn. Sci., 2007

Markov Chain Monte Carlo with People.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

A Probabilistic Approach to Language Change.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Bayesian Inference for PCFGs via Markov Chain Monte Carlo.
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.
Proceedings of the EMNLP-CoNLL 2007, 2007

A fully Bayesian approach to unsupervised part-of-speech tagging.
Proceedings of the ACL 2007, 2007

2006
A Non-Parametric Bayesian Method for Inferring Hidden Causes.
Proceedings of the UAI '06, 2006

Structured Priors for Structure Learning.
Proceedings of the UAI '06, 2006

Particle Filtering for Nonparametric Bayesian Matrix Factorization.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Unsupervised Topic Modelling for Multi-Party Spoken Discourse.
Proceedings of the ACL 2006, 2006

Contextual Dependencies in Unsupervised Word Segmentation.
Proceedings of the ACL 2006, 2006

Learning Systems of Concepts with an Infinite Relational Model.
Proceedings of the Proceedings, 2006

2005
Infinite latent feature models and the Indian buffet process.
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.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005


2004
The Author-Topic Model for Authors and Documents.
Proceedings of the UAI '04, 2004

Integrating Topics and Syntax.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Probabilistic author-topic models for information discovery.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Semi-Supervised Learning with Trees.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

From Algorithmic to Subjective Randomness.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Hierarchical Topic Models and the Nested Chinese Restaurant Process.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Theory-Based Causal Inference.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Prediction and Semantic Association.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Dynamical Causal Learning.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Using Vocabulary Knowledge in Bayesian Multinomial Estimation.
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.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000


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