Publications
In the works…
Hao, X., Jhaveri, Y., & Shafto, P. (2023). Common ground in cooperative communication. Advances in Neural Information Processing Systems (NeurIPS). (spotlight) pdf
Sheller, B. & Shafto, P. (preprint). The (co)limit of metabeliefs.
Wang, J., Wang, P., & Shafto, P. (2023). Generalized Belief Transport. Advances in Neural Information Processing Systems (NeurIPS). pdf
Yang, S, C-H., Eaves, B., Schmidt, M., Swanson, K., & Shafto, P. (preprint). Structurally informed tabular data synthesis and evaluation.
Li, Z., & Shafto, P. (2023). On feasibility of intent obfuscating attacks. Workshop on New Frontiers in Adversarial Machine Learning (AdvML 2023) at ICML.
Wang, J., Wang, P., & Shafto, P. (2023). Efficient discretizations of Optimal Transport. Entropy. html arXiv
Givchi, A., Wang, P., Wang, J., & Shafto, P. (preprint). Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport. arXiv
Lu, C-K & Shafto, P. (preprint). On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel. arXiv
Sheller, B., Wang, J., & Shafto, P. (preprint). The alignment problem in curriculum learning.
Hao, X. & Shafto, P. (2023). Coupled variational autoencoder. International Conference on Machine Learning (ICML). html arXiv
Barak, L., Harmon, Z., Feldman, N.H., Edwards,J. & Shafto, P. (2023). When children’s production deviates from observed input: Modeling the variable production of the English past tense. Cognitive Science. html
Yang, S., C-H., Folke, T., & Shafto, P. (2023). The inner loop of collective human-machine intelligence. Topics in Cognitive Science. pdf html
Kominsky, J., Bascandziev, I., Shafto, P., & Bonawitz, E. (2023). Talk of the Town Mobile App Platform: New method engaging family in STEM learning and research in homes and communities. Frontiers in Psychology. html
Yang, S, C-H., Rank, C., Whritner, J., Nasraoui, O., & Shafto, P. (2023). Human variability and the explore-exploit tradeoff in recommendation. Cognitive Science. PsyArXiv html
Barak, L., Fernandez, N., Feldman, N., & Shafto, P. (2023) Modeling substitution errors in spanish morphology learning. Proceedings of the 45th annual conference of the Cognitive Science Society. html
2022
Chiu, W-T., Wang, P., & Shafto, P. (2022). Probabilistic inverse Optimal Transport. International Conference on Machine Learning (ICML). arXiv
Yang, S., C-H., Folke, T., & Shafto, P. (2022). A psychological theory of explainability. International Conference on Machine Learning (ICML). arXiv
Paranamana, P., Wang, P., & Shafto, P. (2022). Evolution of beliefs in social networks. Collective Intelligence. arXiv
Richard, B. & Shafto, P. (2022). Sensitivity to the slope (α) of the amplitude spectrum of natural scenes is dependent on the α of recently viewed environments: A visual adaptation study in modified reality. Vision Research. arXiv
Harmon, Z., Barak, L., Shafto, P., Edwards, J., & Feldman, N. (2022). The competition–compensation account of Developmental Language Disorder. Developmental Science. html
Bokadia, H., Yang, S, C-H., Li, Z., Folke, T., & Shafto, P. (2022). Evaluating perceptual and semantic interpretability of saliency methods: A case study of melanoma. Applied AI Letters. html
Thomas, D., Kleinberg, S., Brown, A., Crow, M., Bastian, N., Reisweber, N., Lasater, R., Kendall, T., Shafto, P., Blaine, R., Smith, S., Ruiz, D., Morrell, C., & Clark, N. (2022). Model Machine Learning Practices to Support the Principles of AI and Ethics in Nutrition Research. Nutrition and Diabetes.
2021
Shafto, P., Wang, J., & Wang, P. (in press). Cooperative communication as Belief Transport. Trends in Cognitive Sciences. pdf
Yang, S.,C-H., Folke, T., & Shafto, P. (2021). Abstraction, validation, and generalization for explainable artificial intelligence. Applied AI Letters. https://doi.org/10.1002/ail2.37 arXiv html
Nguyen, K., Misra, D., Schapire, R., Dudík, M., & Shafto, P. (2021). Interactive learning from activity description. International Conference on Machine Learning (ICML). arXiv
Yang, S.,C-H., Vong, W-K., Sojitra, R.B., Folke, T., & Shafto, P. (2021). Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching. Scientific Reports. pdf arXiv
Lu, C-K & Shafto, P. (2021). Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning. Entropy, 23, 1387. doi.org: 10.3390/e23111387 html arXiv
Lu, C-K & Shafto, P. (2021). Conditional Deep Gaussian Processes: multi-fidelity kernel learning. Entropy. arXiv
Folke, T., Yang, S.C-H., Anderson, S., & Shafto, P. (2021). Explainable AI for medical imaging: explaining pneumothorax diagnoses with Bayesian teaching. Proc. SPIE 11746, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III. doi: 10.1117/12.2585967 arXiv
Kominsky, J., Shafto, P., & Bonawitz, E.B. (2021). There’s something inside: Children’s intuitions about animate agents. PLOS ONE. pdf
Colantonio, J.A., Durkin, K., Caglar, L.R., Shafto, P., & Bonawitz, E. (2021). The intentional selection assumption. Frontiers in Psychology, 12, doi: 10.3389/fpsyg.2021.569275 html
Bascandziev, I., Shafto, P., & Bonawitz, E.B. (2021). The sound of pedagogical questions. Proceedings of the 43rd annual conference of the Cognitive Science Society.
Harmon, Z., Barak, L., Shafto, P., Edwards, J., & Feldman, N. (2021). Making Heads or Tails of it: A competition–compensation account of morphological deficits in language impairment. Proceedings of the 43rd annual conference of the Cognitive Science Society.
2020
Wang, P., Wang, J., Paranamana, P., & Shafto, P. (2020). A mathematical theory of cooperative communication. Advances in Neural Information Processing Systems (NeurIPS). arXiv (oral presentation, <1.5% acceptance rate)
Wang, J., Wang, P., & Shafto, P. (2020). Sequential cooperative Bayesian inference. International Conference on Machine Learning (ICML). arXiv
Wang, P., Givchi, A., & Shafto, P. (2020). Manifold learning from a teacher’s demonstrations. NeurIPS workshop: TDA and beyond. arXiv
Lu, C-K, Yang, S, C-H, Hao, X., & Shafto, P. (2020). Interpretable deep Gaussian Processes with moments. Proceedings of the 23rd international conference on Artificial Intelligence and Statistics (AIStats). AIStats arXiv
Daubert, E.N., Yu, Y., Grados, M., Shafto, P., Bonawitz, L.B. (2020). Pedagogical questions promote causal learning in preschoolers. Scientific reports.
Yu, Y., Shafto, P., & Bonawitz, E. (2020). Inconvenient samples: Modeling biases related to parental consent by coupling observational and experimental results. Open Mind, 4, 13-24.
Sun, W-L., Nasraoui, O., & Shafto, P. (2020). Evolution and impact of bias in human and machine learning algorithm interaction. PLoS one, 15(8), e0235502.
Bonawitz, E., Shafto, P., Yu, Y., Gonzalez, A. & Bridgers, S. (2020). Children change their answers in response to neutral follow-up questions by a knowledgeable asker. Cognitive Science. doi: 10.1111/cogs.12811
Barak, L., Yang, S, C-H., Rank, C. & Shafto, P. (2020). Replicating L2 learning in a computational model. Proceedings of the 42nd Annual Conference of the Cognitive Science Society.
2019
Richard, B., Hansen, B.C., Johnson, A.P., & Shafto, P. (2019). Spatial summation of broadband contrast. Journal of Vision, 19(5), 1-19. pdf
Wang, P., Paranamana, P., & Shafto, P. (2019). Generalizing the theory of cooperative inference. Proceedings of the 22nd international conference on Artificial Intelligence and Statistics (AISTATS). arXiv
Yu, Y., Bonawitz, L.B., & Shafto, P. (2019). Pedagogical questions in parent-child conversations. Child Development, 90(1), 147-161. doi:10.1111/cdev.12850 pdf
Jean, A., Daubert, E., Yu, Y., Shafto, P., & Bonawitz, E.B. (2019). Pedagogical questions empower exploration. Proceedings of the 41st annual conference of the Cognitive Science Society. pdf
Yang, S.C-H., Vong, W.K., Yu, Y., & Shafto, P. (2019). A unifying computational framework for teaching and active learning. Topics in Cognitive Science. doi: https://doi.org/10.1111/tops.12405 pdf code
Sun, W., Khenissi, S., Nasraoui, O. & Shafto, P. (2019). Debiasing collaborative filtering recommender systems. The Third International Workshop on Augmenting Intelligence with Bias-Aware Humans-in-the–Loop (HumBL@WWW2019).
Williams, J.D., Lopez, D., Shafto, P., Lee, K. (2019). Technological workforce and Its impact on algorithmic justice in politics. Consumer Needs and Solutions, 6: 84. doi: 10.1007/s40547-019-00103-3
Bass, I., Gopnik, A., Hanson, M., Ramarajan, D., Shafto, P., Wellman, H., & Bonawitz, E.B. (2019). Children’s developing theory of mind and pedagogical evidence selection. Developmental Psychology, 55(2), 86-302. doi: 10.1037/dev0000642 PsyArxiv.
2018
Lu, C-K. Yang, S.C-H., & Shafto, P. (2018). Standing wave decomposition Gaussian Process. Physical Review E, 98, 032303. arXiv
Yang, S.C-H., Yu, Y., Givchi, A., Wang, P., Vong, W.K., & Shafto, P. (2018). Optimal cooperative inference. Proceedings of the 21st international conference on Artificial Intelligence and Statistics (AISTATS). arXiv
Gweon, H., Shafto, P., & Schulz, L.E. (2018). Development of children’s sensitivity to over-informativeness in learning and teaching. Developmental Psychology, 54(11), 2113-2125. doi: http://dx.doi.org/10.1037/dev00005802113 PDF
Yu, Y., Landrum, A., Bonawitz, L.B., & Shafto, P. (2018). Questioning supports effective transmission of knowledge and increased exploratory learning in pre-kindergarten children. Developmental Science. doi:10.1111/desc.12696 PDF
Yu, Y., Shafto, P., Bonawitz, E.B., Yang, S.C-H., Golinkoff, R.M., Corriveau, K.H., Hirsh-Pasek, K., & Xu, F. (2018). The theoretical and methodological opportunities afforded by guided play. Frontiers in Psychology, 9:1152. doi:10.3389/fpsyg.2018.01152 PDF
Vong, W-K., Sojitra, R., Reyes, A., Yang, S.C-H., & Shafto, P. (2018). Bayesian teaching of image categories. Proceedings of the 40th annual conference of the Cognitive Science Society. PDF
Choi, K., Lapidow, E., Austin, J., Shafto, P., & Bonawitz, E.B. (2018). Preschoolers are more likely to direct questions to adults than to other children (or selves) during spontaneous conversational acts. Proceedings of the 40th annual conference of the Cognitive Science Society. PDF
Bass, I., Shafto, P., & Bonawitz, E.B. (2018). That’ll teach ‘em: How expectations about teaching styles may constrain inferences. Proceedings of the 40th annual conference of the Cognitive Science Society. PDF
Perfors, A., Navarro, D.J., & Shafto, P. (2018). Stronger evidence isn’t always better: A role for social inference in evidence selection and interpretation. Proceedings of the 40th annual conference of the Cognitive Science Society. PDF
Sun, W., Nasraoui, O. & Shafto, P. (2018). Iterated algorithmic bias in the interactive machine learning process of information filtering. Proceedings of the 10th international conference on Knowledge Discovery and Information Retrieval (KDIR). PDF Best paper award winner
Badami, M., Nasraoui, O. & Shafto, P. (2018). PrCP: Pre-recommendation counter-polarization. Proceedings of the 10th international conference on Knowledge Discovery and Information Retrieval (KDIR). PDF
2017
Yang, S.C-H. & Shafto, P. (2017). Explanable Artificial Intelligence via Bayesian Teaching. NIPS 2017 workshop on Teaching Machines, Robots, and Humans. PDF
Lane, J. & Shafto, P. (2017). Preschoolers and toddlers attribute causal power to novel invisible entities. Journal of Experimental Child Psychology, 162, 268-281. PDF
Baker, L., LoBue, V., Bonawitz, E.B. & Shafto, P. (2017). Towards automated classification of emotional facial expressions. Proceedings of the 39th annual conference of the Cognitive Science Society. PDF
Yang, S.C-H. & Shafto, P. (2017). Teaching versus active learning: A computational analysis of conditions that affect learning. Proceedings of the 39th annual conference of the Cognitive Science Society. PDF
Yang, S.C-H., Whritner, J.A., Nasraoui, O. & Shafto, P. (2017). Unifying recommendation and active learning for human-algorithm interactions. Proceedings of the 39th annual conference of the Cognitive Science Society. PDF
Yu, Y., Bonawitz, E.B. & Shafto, P. (2017). Inconvenient samples: Modeling the effects of non-consent by coupling observational and experimental results. Proceedings of the 39th annual conference of the Cognitive Science Society. PDF
Bass, I., Bonawitz, L.B., Shafto, P., Ramarajan, D., Gopnik, A. & Wellman, H. (2017). I know what you need to know: Children’s developing theory of mind and pedagogical evidence selection. Proceedings of the 39th annual conference of the Cognitive Science Society. PDF
Badami, M., Nasraoui, O., Sun. W., & Shafto, P. (2017). Detecting polarization in ratings: An automated pipeline and a preliminary quantification on several benchmark data sets. IEEE Big Data 2017, International Workshop on Big Social Media Data Management and Analysis. PDF
Schweinhart, A.M., Shafto, P. & Essock, E.A. (2017). Distribution of content in recently-viewed scenes whitens perception. Journal of Vision, 17(3), 8-8 PDF
Eaves, B.S. & Shafto, P. (2017). Parameterizing developmental changes in epistemic trust. Psychonomic Bulletin & Review, 24(2), 277-306. PDF
McCrink, K., Shafto, P. & Barth, H. (2017). The relationship between non-symbolic multiplication and division in childhood. Quarterly Journal of Experimental Psychology, 70(4), 686-702.
2016
Shafto, P. & Nasraoui, O. (2016). Human-recommender systems: From benchmark data to benchmark cognitive models. Proceedings of the 10th ACM Conference on Recommender Systems (RecSys 2016), 127-130. PDF
Eaves, B.S. & Shafto, P. (2016). Toward a general, scaleable framework for Bayesian teaching with applications to topic models. IJCAI 2016 workshop on Interactive Machine Learning: Connecting Humans and Machines. PDF, CODE
Schweinhart, A., Eaves, B.S. & Shafto, P. (2016). Automating the recoding, analysis, and interpretation pipeline using naturalistic visual scenes. IJCAI 2016 workshop on Closing the Cognitive Loop: Third Workshop on Knowledge, Data, and Systems for Cognitive Computing. PDF
Searcy, S. R. & Shafto, P. (2016). Cooperative Inference: Features, objects, and collections. Psychological Review, 123(5), 510-533. PDF
Eaves, B.S., Feldman, N., Griffiths, T. & Shafto, P. (2016). Infant-directed speech is consistent with teaching. Psychological Review, 123(6), 758-771. PDF
Mansinghka, V.K., Shafto, P., Jonas, E., Petschulat, C., Gasner, M. & Tenenbaum, J.B. (2016). CrossCat: A fully Bayesian nonparametric method for analyzing heterogeneous, high dimensional data. Journal of Machine Learning Research, 17, 1-49. arXiv
Eaves B.S., Schweinhart A., & Shafto P. (2016). Tractable Bayesian teaching. In M.N. Jones (Ed.), Big Data in Cognitive Science. New York, NY: Psychology Press. PDF
Nasraoui, O. & Shafto, P. (2016). Human-algorithm interaction biases in the big data cycle: A markov chain iterated learning framework. arXiv preprint arxiv:1608.07895 arXiv
Yu, Y., Bonawitz, E. & Shafto, P. (2016). Questions in informal teaching: A study of mother-child conversations. Proceedings of the 38th Annual Conference of the Cognitive Science Society. PDF
Bonawitz, E. B. & Shafto, P. (2016). Computational models of development, Social influences. Current Opinion in Behavioral Sciences, 7, 95-100. PDF
Durkin, K. & Shafto, P. (2016). Epistemic trust and education: Effects of informant reliability on student learning of decimal concepts. Child Development, 87, 154–164. PDF
2015
Mansinghka, V., Tibbetts, R., Baxter, J., Shafto, P. & Eaves, B. (preprint). BayesDB: A probabilistic programming system for querying the probable implications of data. arXiv preprint arXiv:1512.05006. arXiv
Shafto, P. & Bonawitz, L.B. (2015). Choice from among intentionally selected options. In Ross, B. (Ed.) Psychology of Learning and Motivation Volume 63, San Diego: Elsevier. PDF
Rafferty, A., Brunskill, E., Griffiths, T.L. & Shafto, P. (2015). Faster teaching via POMDP planning. Cognitive Science. PDF
Rhodes, M., Bonawitz, E., Shafto, P., Chen, A. & Caglar, L. (2015). Controlling the message: preschoolers’ use of information to teach and deceive others. Frontiers in Psychology. 6:867. PDF
Durkin, K., Caglar, L.R., Bonawitz, E. & Shafto, P. (2015). Explaining Choice Behavior: The Intentional Selection Assumption. Proceedings of the 37th Annual Conference of the Cognitive Science Society. PDF
Noles, N.S., Danovitch, J.H. & Shafto, P. (2015). Children’s Trust in Technological and Human Informants. Proceedings of the 37th Annual Conference of the Cognitive Science Society. PDF
Landrum, A.R., Cloudy, J. & Shafto, P. (2015). More than true: Developmental changes in use of the inductive strength for selective trust. Proceedings of the 37th Annual Conference of the Cognitive Science Society. PDF
Landrum, A.R. Eaves Jr, B.S. & Shafto, P. (2015). Learning to trust and trusting to learn: a theoretical framework. Trends in Cognitive Sciences, 19, 109-111. PDF
2014
Rhodes, M., Bonawitz, E., Shafto, P. & Chen, A. (2014). Controlling the message: Preschoolers’ use of evidence to teach and deceive others. Proceedings of the 36th Annual Conference of the Cognitive Science Society. PDF
Gweon, H., Shafto, P. & Schulz, L.E. (2014). Children consider prior knowledge and the cost of information both in learning from and teaching others. Proceedings of the 36th annual conference of the Cognitive Science Society. PDF
Eaves, B.S. & Shafto, P. (2014). Order effects in learning relational structures. Proceedings of the 36th annual conference of the Cognitive Science Society. PDF
Searcy, S. R. & Shafto, P. (2014). Learning biases for teaching boolean concepts. Proceedings of the 36th annual conference of the Cognitive Science Society. PDF
Shafto, P., Goodman, N. D. & Griffiths, T. L. (2014). A rational account of pedagogical reasoning: Teaching by, and learning from, examples. Cognitive Psychology, 71, 55-89. PDF
2012
Eaves, B. & Shafto, P. (2012). Unifying pedagogical reasoning and epistemic trust. In Xu., F. and Kushnir, T. (Eds.) Advances in Child Development and Behavior, 43, 295-319. PDF
Shafto, P., Goodman, N.D. & Frank, M.C. (2012). Learning from others: The consequences of psychological reasoning for human learning. Perspectives on Psychological Science, 7, 341-351. PDF
Shafto, P., Eaves, B., Navarro, D.J. & Perfors, A. (2012). Epistemic trust: Modeling children’s reasoning about others’ knowledge and intent. Developmental Science, 15, 436-447. PDF
Kemp, C., Shafto, P. & Tenenbaum, J.B. (2012). An integrated account of generalization across objects and features. Cognitive Psychology, 64, 35-73. PDF
Shafto, P., Gweon, H., Fargen, C. & Schulz, L. (2012). Enough is enough: Inductive sufficiency guides learners’ ratings of informant helpfulness. Proceedings of the 34th annual conference of the Cognitive Science Society. PDF
Gonzalez, A., Shafto, P., Bonawitz, E.B. & Gopnik, A. (2012). Is that your final answer? The effects of neutral queries on children’s choices. Proceedings of the 34th annual conference of the Cognitive Science Society. PDF
2011
Bonawitz, E.B., Shafto, P., Gweon, H., Goodman, N.D., Spelke, E. & Schulz, L. (2011). The double-edged sword of pedagogy: Instruction affects spontaneous exploration and discovery. Cognition, 120, 322-330. PDF
Shafto, P., Kemp, C., Mansinghka, V.K. & Tenenbaum, J.B. (2011). A probabilistic model of cross-categorization. Cognition, 120, 1-25. PDF
Buchbaum, D., Griffiths, T.L., Gopnik, A. & Shafto, P. (2011). Children’s imitation of causal action sequences is influenced by statistical and pedagogical evidence. Cognition, 120, 331-340. PDF
Warner, R., Stoess, T. & Shafto, P. (2011). Reasoning about teaching and misleading situations. Proceedings of the 33rd annual conference of the Cognitive Science Society. PDF
Montague, R., Navarro, D.J., Perfors, A., Warner, R. & Shafto, P. (2011). To catch a liar: The effects of truthful and deceptive testimony on inferential learning. Proceedings of the 33rd annual conference of the Cognitive Science Society. PDF
Smith, N.A. & Shafto, P. (2011). The role of cross-cutting systems of categories in category-based induction. Proceedings of the 33rd annual conference of the Cognitive Science Society. PDF
Rafferty, A., Brunskill, E., Shafto, P. & Griffiths, T.L. (2011). Faster teaching by POMDP planning. Proceedings of the 15th international conference on Artificial Intelligence in Education (AIED). PDF
Li, D. & Shafto, P. (2011). Bayesian hierarchical cross-clustering. Proceedings of the 14th international conference on Artificial Intelligence and Statistics (AISTATS). PDF
2010
Shafto, P., Goodman, N.D., Gerstle, B. & Ladusaw, F. (2010). Prior expectations in pedagogical situations. Proceedings of the 32nd annual conference of the Cognitive Science Society. PDF
Li, D., Rouchka, E. & Shafto, P. (2010). Phylogenomic analysis using Bayesian congruence measuring. Proceedings of the 2nd International Conference on Bioinformatics and Computation (BICoB). PDF
2009
Bonawitz, E.B., Shafto, P., Gweon, H., Chang, I. Katz, S. & Schulz, L. (2009). The double-edged sword of pedagogy: Modeling the effect of pedagogical contexts on preschoolers’ exploratory play. Proceedings of the 31st annual meeting of the Cognitive Science Society. PDF
Warner, R. Shafto, P., Baker, C.L. & Tenenbaum, J.B. (2009). Abstract knowledge guides prediction and search in novel situations. Proceedings of the 31st annual meeting of the Cognitive Science Society. PDF
2008
Shafto, P., Kemp, C., Bonawitz, E.B., Coley, J.D. & Tenenbaum, J.B. (2008). Inductive reasoning about causally transmitted properties. Cognition. 109, 175-192. PDF
Shafto, P. & Goodman, N. (2008). Teaching games: Statistical sampling assumptions for learning in pedagogical situations. Proceedings of the 30th annual conference of the Cognitive Science Society. PDF
2007
Mansinghka, V.K., Jonas, E., Petschulat, C., Cronin, B., Shafto, P. & Tenenbaum, J.B. (2007). Cross-Categorization: A method for discovering multiple overlapping clusterings, NIPS workshop PDF
Tenenbaum, J.B., Kemp, C. & Shafto, P. (2007). Theory-based Bayesian models of inductive reasoning. In Feeney, A. & Heit, E. (Eds.), Induction. Cambridge, U.K.: Cambridge University Press. PDF
Shafto, P., Vitkin, A. & Coley, J.D. (2007). Availability in category-based induction. In Feeney, A. & Heit, E. (Eds.), Induction. Cambridge, U.K.: Cambridge University Press. PDF
Feeney, A., Shafto, P. & Dunning, D. (2007). Who is susceptible to the conjunction fallacy in category-based induction? Psychonomic Bulletin & Review, 14, 884-889. PDF
Shafto, P., Coley, J.D. & Baldwin, D. (2007). Effects of time pressure on context-sensitive property induction. Psychonomic Bulletin & Review, 14, 890-894. PDF
2006
Kemp, C., Shafto, P., Berke, A. & Tenenbaum, J.B. (2006). Combining causal and similarity-based reasoning. Advances in Neural Information Processing Systems. Best Student Paper, Honorable Mention, NIPS 2006. PDF
Shafto, P., Kemp, C., Mansinghka, V.K., Gordon, M. & Tenenbaum, J.B. (2006). Learning cross-cutting systems of categories. Proceedings of the 28th annual conference of the Cognitive Science Society. PDF
2005
Shafto, P., Kemp, C., Baraff, E., Coley, J.D. & Tenenbaum, J.B. (2005). Context-sensitive induction. Proceedings of the 27th annual conference of the Cognitive Science Society. PDF
Coley, J.D., Shafto, P., Stepanova, O. & Baraff, E. (2005). Knowledge and category-based induction. In Ahn, W., Goldstone, R.L., Love, B.C., Markman, A.B. & Wolff, P. (Eds.), Categorization inside and outside the laboratory: Essays in honor of Douglas L. Medin. Washington, DC: American Psychological Association. PDF
2003
Shafto, P. & Coley, J.D. (2003). Development of categorization and reasoning in the natural world: Novices to experts, naive similarity to ecological knowledge. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29, 641-649. PDF
2002
Coley, J.D., Solomon, G.E.A. & Shafto, P. (2002). The development of folkbiology: A cognitive science perspective on children’s understanding of the biological world. In Kahn, P. & Kellert, S. (Eds.), Children and nature: Psychological, sociocultural, and evolutionary investigations (65-91). Cambridge, MA: MIT Press. PDF
2001
Ahn, W., Kalish, C., Gelman, S.A., Medin, D.L., Luhmann, C., Atran, S., Coley, J.D. & Shafto, P. (2001). Why essences are essential in the psychology of concepts. Cognition, 82, 59-69. PDF