Thomas L. Griffiths

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning with Language-Guided State Abstractions.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Implicit Maximum a Posteriori Filtering via Adaptive Optimization.

[BibT_eX]

[DOI]

Gianluca M. Bencomo

Jake Snell

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Preference-Conditioned Language-Guided Abstraction.

[BibT_eX]

[DOI]

Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning.

[BibT_eX]

[DOI]

Akshara Prabhakar

R. Thomas McCoy

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Comparing Human Behavior to an Optimal Policy for Innovation.

[BibT_eX]

[DOI]

Bonan Zhao

Natalia Vélez

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

Pushing the Limits of Learning from Limited Data.

[BibT_eX]

[DOI]

Maya Malaviya

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract).

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

The Computational Challenges of Means Selection Problems: Network Structure of Goal Systems Predicts Human Performance.

[BibT_eX]

[DOI]

Cogn. Sci., August, 2023

Learning to Learn Functions.

[BibT_eX]

[DOI]

Cogn. Sci., April, 2023

How do Humans Overcome Individual Computational Limitations by Working Together?

[BibT_eX]

[DOI]

Cogn. Sci., January, 2023

Extracting Low-Dimensional Psychological Representations from Convolutional Neural Networks.

[BibT_eX]

[DOI]

Aditi Jha

Cogn. Sci., January, 2023

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2023

Humans decompose tasks by trading off utility and computational cost.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2023

Deep de Finetti: Recovering Topic Distributions from Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Human-like Representations to Enable Learning Human Values.

[BibT_eX]

[DOI]

Andrea Wynn

CoRR, 2023

Toward a More Biologically Plausible Neural Network Model of Latent Cause Inference.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring the hierarchical structure of human plans via program generation.

[BibT_eX]

[DOI]

CoRR, 2023

A Metalearned Neural Circuit for Nonparametric Bayesian Inference.

[BibT_eX]

[DOI]

Jake C. Snell

Gianluca M. Bencomo

CoRR, 2023

Machine Culture.

[BibT_eX]

[DOI]

Levin Brinkmann

Fabian Baumann

Jean-François Bonnefon

Maxime Derex

Thomas F. Müller

Anne-Marie Nussberger

CoRR, 2023

Bayes in the age of intelligent machines.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Interpersonal Communication by Simulating Audiences with Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Concept Alignment as a Prerequisite for Value Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

Getting aligned on representational alignment.

[BibT_eX]

[DOI]

CoRR, 2023

Dimensions of Disagreement: Unpacking Divergence and Misalignment in Cognitive Science and Artificial Intelligence.

[BibT_eX]

[DOI]

CoRR, 2023

Structurally guided task decomposition in spatial navigation tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve.

[BibT_eX]

[DOI]

CoRR, 2023

The Universal Law of Generalization Holds for Naturalistic Stimuli.

[BibT_eX]

[DOI]

CoRR, 2023

Modeling rapid language learning by distilling Bayesian priors into artificial neural networks.

[BibT_eX]

[DOI]

R. Thomas McCoy

CoRR, 2023

Neural Constraint Satisfaction: Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement.

[BibT_eX]

[DOI]

CoRR, 2023

Superhuman Artificial Intelligence Can Improve Human Decision Making by Increasing Novelty.

[BibT_eX]

[DOI]

CoRR, 2023

On the informativeness of supervision signals.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Gaussian Process Surrogate Models for Neural Networks.

[BibT_eX]

[DOI]

Michael Y. Li

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Gaussian Process Probes (GPP) for Uncertainty-Aware Probing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Alignment with human representations supports robust few-shot learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Im-Promptu: In-Context Composition from Image Prompts.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Analyzing Diffusion as Serial Reproduction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Words are all you need? Language as an approximation for human similarity judgments.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Computation-Limited Bayesian Updating.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Comparing Human Predictions from Expert Advice to On-line Optimization Algorithms.

[BibT_eX]

[DOI]

Feng Xia

Jian-Qiao Zhu

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

The joint evolution of sensory systems and decision policy allows cognition.

[BibT_eX]

[DOI]

Cameron Rouse Turner

Thomas J. H. Morgan

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Predicting Word Learning in Children from the Performance of Computer Vision Systems.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

To each their own theory: Exploring the limits of individual differences in decisions under risk.

[BibT_eX]

[DOI]

Marina Mancoridis

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

What Language Reveals about Perception: Distilling Psychophysical Knowledge from Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Large language models meet cognitive science: LLMs as tools, models, and participants.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Overcoming Individual Limitations Through Distributed Computation: Rational Information Accumulation in Multigenerational Populations.

[BibT_eX]

[DOI]

Top. Cogn. Sci., 2022

The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons.

[BibT_eX]

[DOI]

Rachit Dubey

Peter Dayan

PLoS Comput. Biol., 2022

On the Informativeness of Supervision Signals.

[BibT_eX]

[DOI]

CoRR, 2022

Bias amplification in experimental social networks is reduced by resampling.

[BibT_eX]

[DOI]

CoRR, 2022

How to talk so your robot will learn: Instructions, descriptions, and pragmatics.

[BibT_eX]

[DOI]

CoRR, 2022

Words are all you need? Capturing human sensory similarity with textual descriptors.

[BibT_eX]

[DOI]

CoRR, 2022

Linguistic communication as (inverse) reward design.

[BibT_eX]

[DOI]

CoRR, 2022

Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Cognitive Science as a Source of Forward and Inverse Models of Human Decisions for Robotics and Control.

[BibT_eX]

[DOI]

Mark K. Ho

Annu. Rev. Control. Robotics Auton. Syst., 2022

How to talk so AI will learn: Instructions, descriptions, and autonomy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Using natural language and program abstractions to instill human inductive biases in machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation.

[BibT_eX]

[DOI]

Michael Chang

Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distinguishing rule and exemplar-based generalization in learning systems.

[BibT_eX]

[DOI]

Ishita Dasgupta

Proceedings of the International Conference on Machine Learning, 2022

Predicting Human Similarity Judgments Using Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Can Humans Do Less-Than-One-Shot Learning?

[BibT_eX]

[DOI]

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Probing BERT's priors with serial reproduction chains.

[BibT_eX]

[DOI]

Takateru Yamakoshi

Robert D. Hawkins

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Fixation patterns in simple choice reflect optimal information sampling.

[BibT_eX]

[DOI]

Frederick Callaway

Antonio Rangel

PLoS Comput. Biol., 2021

A pragmatic account of the weak evidence effect.

[BibT_eX]

[DOI]

Samuel A. Barnett

Robert D. Hawkins

CoRR, 2021

Control of mental representations in human planning.

[BibT_eX]

[DOI]

CoRR, 2021

Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task.

[BibT_eX]

[DOI]

Sonia K. Murthy

Robert X. D. Hawkins

CoRR, 2021

From partners to populations: A hierarchical Bayesian account of coordination and convention.

[BibT_eX]

[DOI]

CoRR, 2021

Evaluating Models of Robust Word Recognition with Serial Reproduction.

[BibT_eX]

[DOI]

Sathvik Nair

CoRR, 2021

The Challenges of Large-Scale, Web-Based Language Datasets: Word Length and Predictability Revisited.

[BibT_eX]

[DOI]

Cogn. Sci., 2021

Passive attention in artificial neural networks predicts human visual selectivity.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Meta-Learning of Structured Task Distributions in Humans and Machines.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

A Rational Account of Anchor Effects in Hindsight Bias.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Are Convolutional Neural Networks or Transformers more like human vision?

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Extending rational models of communication from beliefs to actions.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Mutual Exclusivity as Competition in Cross-situational Word Learning.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Respect the code: Speakers expect novel conventions to generalize within but not across social group boundaries.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Modeling rules and similarity in colexification.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

The Dynamics of Exemplar and Prototype Representations Depend on Environmental Statistics.

[BibT_eX]

[DOI]

Arjun Devraj

Qiong Zhang

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Learning Rewards From Linguistic Feedback.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multitasking Capacity: Hardness Results and Improved Constructions.

[BibT_eX]

[DOI]

SIAM J. Discret. Math., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Understanding Human Intelligence through Human Limitations.

[BibT_eX]

[DOI]

CoRR, 2020

The Efficiency of Human Cognition Reflects Planned Information Processing.

[BibT_eX]

[DOI]

CoRR, 2020

Assessing Mathematics Misunderstandings via Bayesian Inverse Planning.

[BibT_eX]

[DOI]

Cogn. Sci., 2020

How to Be Helpful to Multiple People at Once.

[BibT_eX]

[DOI]

Vael Gates

Anca D. Dragan

Cogn. Sci., 2020

Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Investigating representations of verb bias in neural language models.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

The method of loci is an optimal policy for memory search.

[BibT_eX]

[DOI]

Qiong Zhang

Kenneth A. Norman

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

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

[BibT_eX]

[DOI]

Theodore R. Sumers

Mark K. Ho

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Workshop on Scaling Cognitive Science.

[BibT_eX]

[DOI]

Joshua K. Hartshorne

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

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

[BibT_eX]

[DOI]

Pulkit Singh

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Universal linguistic inductive biases via meta-learning.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Downloading Culture.zip: Social learning by program induction.

[BibT_eX]

[DOI]

Max Kleiman-Weiner

Felix Sosa

Bill Thompson

Sebastiaan van Opheusden

Samuel Gershman

Fiery Cushman

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

A rational model of sequential self-assessment.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Investigating the Behavior of Malicious Actors Through the Game of Mafia.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Population-level amplification of perceptual bias.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Resource-rational Task Decomposition to Minimize Planning Costs.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Optimal nudging.

[BibT_eX]

[DOI]

Frederick Callaway

Mathew D. Hardy

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Analogy as Nonparametric Bayesian Inference over Relational Systems.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

People Do Not Just Plan, They Plan to Plan.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

nbgrader v0.5.5.

[BibT_eX]

[DOI]

Benjamin Ragan-Kelley

Carol Willing

Dataset, January, 2019

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

[BibT_eX]

[DOI]

Mayank Agrawal

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Predicting human decisions with behavioral theories and machine learning.

[BibT_eX]

[DOI]

CoRR, 2019

Learning How to Generalize.

[BibT_eX]

[DOI]

Sophia Sanborn

Cogn. Sci., 2019

Reconciling meta-learning and continual learning with online mixtures of tasks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Automatically Composing Representation Transformations as a Means for Generalization.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Human Uncertainty Makes Classification More Robust.

[BibT_eX]

[DOI]

Olga Russakovsky

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Inductive Biases Constrain Cumulative Cultural Evolution.

[BibT_eX]

[DOI]

Bill Thompson

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Modeling students' fraction arithmetic strategies using inverse planning.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Extending Rationality.

[BibT_eX]

[DOI]

Michael Henry Tessler

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.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Automated cognitive modeling with Bayesian active model selection.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

The Computational Structure of Unintentional Meaning.

[BibT_eX]

[DOI]

Mark K. Ho

Joanna Korman

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Demonstrating the Impact of Prior Knowledge in Risky Choice.

[BibT_eX]

[DOI]

Mathew D. Hardy

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Learning deep taxonomic priors for concept learning from few positive examples.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Rachit Dubey

Tania Lombrozo

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Human-level but not human-like: Deep Reinforcement Learning in the dark.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Compositional subgoal representations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mayank Agrawal

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Rational metareasoning and the plasticity of cognitive control.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Adaptive Sampling for Convex Regression.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Sensitivity to Shared Information in Social Learning.

[BibT_eX]

[DOI]

Andrew Whalen

Daphna Buchsbaum

Cogn. Sci., 2018

Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations.

[BibT_eX]

[DOI]

Cogn. Sci., 2018

Learning to select computations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Investigating Human Priors for Playing Video Games.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Capturing Human Category Representations by Sampling in Deep Feature Spaces.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Recasting Gradient-Based Meta-Learning as Hierarchical Bayes.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Evaluating Theory of Mind in Question Answering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Learning a face space for experiments on human identity.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Representational efficiency outweighs action efficiency in human program induction.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Interpersonal Coordination of Perception and Memory in Real-Time Online Social Interaction.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Shaping Model-Free Habits with Model-Based Goals.

[BibT_eX]

[DOI]

Paul M. Krueger

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Levels of Analysis in Computational Social Science.

[BibT_eX]

[DOI]

Peter M. Krafft

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Modeling the Dunning-Kruger Effect: A Rational Account of Inaccurate Self-Assessment.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ruthe Foushee

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

A resource-rational analysis of human planning.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Recommendation as Generalization: Evaluating Cognitive Models In the Wild.

[BibT_eX]

[DOI]

David Bourgin

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Leveraging deep neural networks to capture psychological representations.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

A graph-theoretic approach to multitasking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Pragmatic-Pedagogic Value Alignment.

[BibT_eX]

[DOI]

Malayandi Palaniappan

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Evidence for the size principle in semantic and perceptual domains.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Aida Nematzadeh

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Inferring Intentional Agents From Violation of Randomness.

[BibT_eX]

[DOI]

Yuan Meng

Fei Xu

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

An automatic method for discovering rational heuristics for risky choice.

[BibT_eX]

[DOI]

Paul M. Krueger

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Uncovering visual priors in spatial memory using serial reproduction.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Enhancing metacognitive reinforcement learning using reward structures and feedback.

[BibT_eX]

[DOI]

Paul M. Krueger

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.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Exploring inductive bias of visual scenes.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

How Can Memory-Augmented Neural Networks Pass a False-Belief Task?

[BibT_eX]

[DOI]

Aida Nematzadeh

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Empirical tests of large-scale collaborative recall.

[BibT_eX]

[DOI]

Monica A. Gates

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

A rational analysis of curiosity.

[BibT_eX]

[DOI]

Rachit Dubey

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Evaluating vector-space models of analogy.

[BibT_eX]

[DOI]

Dawn Chen

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Discovering simple heuristics from mental simulation.

[BibT_eX]

[DOI]

Frederick Callaway

Jessica B. Hamrick

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

The Structure of Goal Systems Predicts Human Performance.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Modeling human categorization of natural images using deep feature representations.

[BibT_eX]

[DOI]

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems?

[BibT_eX]

[DOI]

Smitha Milli

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Exploring Human Cognition Using Large Image Databases.

[BibT_eX]

[DOI]

Anne S. Hsu

Top. Cogn. Sci., 2016

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

[BibT_eX]

[DOI]

Alexander G. Huth

Wendy A. de Heer

Frédéric E. Theunissen

Jack L. Gallant

Nat., 2016

Infant directed speech is consistent with teaching.

[BibT_eX]

[DOI]

CoRR, 2016

A Graph-Theoretic Approach to Multitasking.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Faster Teaching via POMDP Planning.

[BibT_eX]

[DOI]

Cogn. Sci., 2016

Generating Plans that Predict Themselves.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Foundations of Robotics XII, 2016

Using Inverse Planning for Personalized Feedback.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Educational Data Mining, 2016

Design from Zeroth Principles.

[BibT_eX]

[DOI]

Michael D. Pacer

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Wallace: Automating Cultural Evolution Experiments Through Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Deciding to Remember: Memory Maintenance as a Markov Decision Process.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Adapting Deep Network Features to Capture Psychological Representations.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Do Simple Probability Judgments Rely on Integer Approximation?

[BibT_eX]

[DOI]

Shaun O'Grady

Fei Xu

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Helping people make better decisions using optimal gamification.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

The Emergence of Conventions.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Lexical Complexity of Child-Directed and Overheard Speech: Implications for Learning.

[BibT_eX]

[DOI]

Ruthe Foushee

Mahesh Srinivasan

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.

[BibT_eX]

[DOI]

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

Goal Inference Improves Objective and Perceived Performance in Human-Robot Collaboration.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Noah D. Goodman

Top. Cogn. Sci., 2015

Inferring Learners' Knowledge From Their Actions.

[BibT_eX]

[DOI]

Michelle M. LaMar

Cogn. Sci., 2015

Children search for information as efficiently as adults, but seek additional confirmatory evidence.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Upsetting the contingency table: Causal induction over sequences of point events.

[BibT_eX]

[DOI]

Michael Pacer

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

What the Baldwin Effect affects.

[BibT_eX]

[DOI]

Thomas J. H. Morgan

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

A Bayesian Framework for Learning Words From Multiword Utterances.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Generative and Discriminative Models in Cognitive Science.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Children and adults differ in their strategies for social learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Think again? The amount of mental simulation tracks uncertainty in the outcome.

[BibT_eX]

[DOI]

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Interpreting Freeform Equation Solving.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014

Tracing the roots of syntax with Bayesian phylogenetics.

[BibT_eX]

[DOI]

Luke Maurits

Proc. Natl. Acad. Sci. USA, 2014

One and Done? Optimal Decisions From Very Few Samples.

[BibT_eX]

[DOI]

Cogn. Sci., 2014

Analyzing the Rate at Which Languages Lose the Influence of a Common Ancestor.

[BibT_eX]

[DOI]

Cogn. Sci., 2014

Algorithm selection by rational metareasoning as a model of human strategy selection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Educational Data Mining, 2014

Cultural evolution with sparse testimony: when does the cultural ratchet slip?

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Caching Algorithms and Rational Models of Memory.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

A Bounded Rationality Account of Wishful Thinking.

[BibT_eX]

[DOI]

Rebecca Neumann

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

The Telephone Game: Exploring Inductive Biases In Naturalistic Language Use.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Moot Point Process Models.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

The high availability of extreme events serves resource-rational decision-making.

[BibT_eX]

[DOI]

Ming Hsu

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

What to simulate? Inferring the right direction for mental rotation.

[BibT_eX]

[DOI]

Jessica B. Hamrick

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Empirical Evidence for Markov Chain Monte Carlo in Memory Search.

[BibT_eX]

[DOI]

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Is Holism A Problem For Inductive Inference? A Computational Analysis.

[BibT_eX]

[DOI]

Maxwell A. Bertolero

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

Automated reconstruction of ancient languages using probabilistic models of sound change.

[BibT_eX]

[DOI]

David Hall

Proc. Natl. Acad. Sci. USA, 2013

The Effects of Cultural Transmission Are Modulated by the Amount of Information Transmitted.

[BibT_eX]

[DOI]

Stephan Lewandowsky

Cogn. Sci., 2013

Evaluating computational models of explanation using human judgments.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Andrew Whalen

Daphna Buchsbaum

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]

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]

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]

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]

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

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]

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 10th Annual Conference of the International Speech Communication Association, 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

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 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]

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]

Percy Liang

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]

Percy Liang

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

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]