Combining causal and similarity-based reasoning. - Charles Kemp; Patrick Shafto; Allison Berke; Joshua B. Tenenbaum (NIPS, 2006)

A Bayesian Model of Pedagogical Reasoning. - Patrick Shafto; Noah D. Goodman (AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence, 2008)

Phylogenomic Analysis Using Bayesian Congruence Measuring. - Dazhuo Li; Eric C. Rouchka; Patrick Shafto (BICoB, 2010)

Faster Teaching by POMDP Planning. - Anna N. Rafferty; Emma Brunskill; Thomas L. Griffiths 001; Patrick Shafto (AIED, 2011)

To catch a liar: The effects of truthful and deceptive testimony on inferential learning. - Robert Montague; Daniel J. Navarro; Amy Perfors; Russell Warner; Patrick Shafto (CogSci, 2011)

The Role of Cross-cutting Systems of Categories in Category-based Induction. - Neil Smith; Patrick Shafto (CogSci, 2011)

Reasoning in teaching and misleading situations. - Russell Warner; Todd Stoess; Patrick Shafto (CogSci, 2011)

Bayesian Hierarchical Cross-Clustering. - Dazhuo Li; Patrick Shafto (AISTATS, 2011)

Is that your final answer? The effects of neutral queries on children's choices. - Aaron Gonzalez; Patrick Shafto; Elizabeth Baraff Bonawitz; Alison Gopnik (CogSci, 2012)

Children's sensitivity to informant's inductive efficiency and learner's epistemic states in pedagogical contexts. - Hyowon Gweon; Patrick Shafto; Joshua B. Tenenbaum; Laura Schulz (CogSci, 2012)

Enough is enough: Inductive sufficiency guides learners' ratings of informant helpfulness. - Patrick Shafto; Hyowon Gweon; Chris Fargen; Laura Schulz (CogSci, 2012)

Order effects in learning relational structures. - Baxter Eaves; Patrick Shafto (CogSci, 2014)

Children consider prior knowledge and the cost of information both in learning from and teaching others. - Hyowon Gweon; Patrick Shafto; Laura Schulz (CogSci, 2014)

Controlling the message: Preschoolers' use of evidence to teach and deceive others. - Marjorie Rhodes; Elizabeth Baraff Bonawitz; Patrick Shafto; Annie Chen (CogSci, 2014)

Biases for learning from teaching. - Nicholas Searcy; Patrick Shafto (CogSci, 2014)

Explaining Choice Behavior: The Intentional Selection Assumption. - Kelley Durkin; Leyla Roksan Caglar; Elizabeth Baraff Bonawitz; Patrick Shafto (CogSci, 2015)

More than true: Developmental changes in use of the inductive strength for selective trust. - Asheley Landrum; Joshua Cloudy; Patrick Shafto (CogSci, 2015)

Children's Trust in Technological and Human Informants. - Nicholaus S. Noles; Judith Danovitch; Patrick Shafto (CogSci, 2015)

How Children Seek Out Information from Technological and Human Informants. - Judith Danovitch; Nicholaus S. Noles; Patrick Shafto (EAPCogSci, 2015)

BayesDB: A probabilistic programming system for querying the probable implications of data. - Vikash Mansinghka 001; Richard Tibbetts; Jay Baxter; Patrick Shafto; Baxter Eaves (CoRR, 2015)

Questions in informal teaching: A study of mother-child conversations. - Yue Yu; Elizabeth Bonawitz; Patrick Shafto (CogSci, 2016)

Human-Recommender Systems: From Benchmark Data to Benchmark Cognitive Models. - Patrick Shafto; Olfa Nasraoui (RecSys, 2016)

Faster Teaching via POMDP Planning. - Anna N. Rafferty; Emma Brunskill; Thomas L. Griffiths 001; Patrick Shafto (Cogn. Sci., 2016)

Infant directed speech is consistent with teaching. - Baxter S. Eaves Jr.; Naomi H. Feldman; Thomas L. Griffiths 001; Patrick Shafto (CoRR, 2016)

Toward a general, scaleable framework for Bayesian teaching with applications to topic models. - Baxter S. Eaves Jr.; Patrick Shafto (CoRR, 2016)

Human-Algorithm Interaction Biases in the Big Data Cycle: A Markov Chain Iterated Learning Framework. - Olfa Nasraoui; Patrick Shafto (CoRR, 2016)

CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data. - Vikash Mansinghka 001; Patrick Shafto; Eric Jonas; Cap Petschulat; Max Gasner; Joshua B. Tenenbaum (J. Mach. Learn. Res., 2016)

Detecting polarization in ratings: An automated pipeline and a preliminary quantification on several benchmark data sets. - Mahsa Badami; Olfa Nasraoui; Wenlong Sun; Patrick Shafto (IEEE BigData, 2017)

Towards Automated Classification of Emotional Facial Expressions. - Lewis Baker; Vanessa Lobue; Elizabeth Bonawitz; Patrick Shafto (CogSci, 2017)

I know what you need to know: Children's developing theory of mind and pedagogical evidence selection. - Ilona Bass; Elizabeth Bonawitz; Patrick Shafto; Dhaya Ramarajan; Alison Gopnik; Henry Wellman (CogSci, 2017)

Teaching Versus Active Learning: A Computational Analysis of Conditions that Affect Learning. - Scott Cheng-Hsin Yang; Patrick Shafto (CogSci, 2017)

Unifying recommendation and active learning for human-algorithm interactions. - Scott Cheng-Hsin Yang; Jake Alden Whritner; Olfa Nasraoui; Patrick Shafto (CogSci, 2017)

Inconvenient samples: Modeling the effects of non-consent by coupling observational and experimental results. - Yue Yu; Elizabeth Bonawitz; Patrick Shafto (CogSci, 2017)

Optimal Cooperative Inference. - Scott Cheng-Hsin Yang; Yue Yu; Arash Givchi; Pei Wang; Wai Keen Vong; Patrick Shafto (AISTATS, 2018)

That'll Teach 'em: How Expectations about Teaching Styles may Constrain Inferences. - Ilona Bass; Patrick Shafto; Elizabeth Bonawitz (CogSci, 2018)

Preschoolers are more likely to direct questions to adults than to other children (or selves) during spontaneous conversational acts. - Koeun Choi; Elizabeth Lapidow; Jennifer Austin; Patrick Shafto; Elizabeth Bonawitz (CogSci, 2018)

Stronger evidence isn't always better: A role for social inference in evidence selection and interpretation. - Amy Perfors; Danielle J. Navarro; Patrick Shafto (CogSci, 2018)

Bayesian Teaching of Image Categories. - Wai Keen Vong; Ravi B. Sojitra; Anderson Reyes; Scott Cheng-Hsin Yang; Patrick Shafto (CogSci, 2018)

PrCP: Pre-recommendation Counter-Polarization. - Mahsa Badami; Olfa Nasraoui; Patrick Shafto (KDIR, 2018)

Iterated Algorithmic Bias in the Interactive Machine Learning Process of Information Filtering. - Wenlong Sun; Olfa Nasraoui; Patrick Shafto (KDIR, 2018)

Standing Wave Decomposition Gaussian Process. - Chi-Ken Lu; Scott Cheng-Hsin Yang; Patrick Shafto (CoRR, 2018)

Generalizing the theory of cooperative inference. - Pei Wang; Pushpi Paranamana; Patrick Shafto (AISTATS, 2019)

What makes a good explanation? Cognitive dimensions of explaining intelligent machines. - Roberto Confalonieri 001; Tarek R. Besold; Tillman Weyde; Kathleen Creel; Tania Lombrozo; Shane T. Mueller; Patrick Shafto (CogSci, 2019)

Cognitive Science Society Workshop: Guided Playful Learning. - Emily N. Daubert; Patrick Shafto (CogSci, 2019)

Pedagogical Questions Empower Exploration. - Anishka Jean; Emily N. Daubert; Yue Yu; Patrick Shafto; Elizabeth Bonawitz (CogSci, 2019)

Debiasing the Human-Recommender System Feedback Loop in Collaborative Filtering. - Wenlong Sun; Sami Khenissi; Olfa Nasraoui; Patrick Shafto (WWW (Companion Volume), 2019)

Interpretable deep Gaussian processes. - Chi-Ken Lu; Scott Cheng-Hsin Yang; Xiaoran Hao; Patrick Shafto (CoRR, 2019)

Manifold learning from a teacher's demonstrations. - Pei Wang; Arash Givchi; Patrick Shafto (CoRR, 2019)

A Unifying Computational Framework for Teaching and Active Learning. - Scott Cheng-Hsin Yang; Wai Keen Vong; Yue Yu; Patrick Shafto (Top. Cogn. Sci., 2019)

Interpretable Deep Gaussian Processes with Moments. - Chi-Ken Lu; Scott Cheng-Hsin Yang; Xiaoran Hao; Patrick Shafto (AISTATS, 2020)

Replicating L2 learning in a Computational Model. - Libby Barak; Scott Cheng-Hsin Yang; Chirag Rank; Patrick Shafto (CogSci, 2020)

Prosodic Features Carry Information About a Question's Intent. - Igor Bascandziev; Patrick Shafto; Elizabeth Bonawitz (CogSci, 2020)

Sequential Cooperative Bayesian Inference. - Junqi Wang 002; Pei Wang; Patrick Shafto (ICML, 2020)

A mathematical theory of cooperative communication. - Pei Wang; Junqi Wang 002; Pushpi Paranamana; Patrick Shafto (NeurIPS, 2020)

Children Change Their Answers in Response to Neutral Follow-Up Questions by a Knowledgeable Asker. - Elizabeth Bonawitz; Patrick Shafto; Yue Yu; Aaron Gonzalez; Sophie Bridgers (Cogn. Sci., 2020)

Multi-source Deep Gaussian Process Kernel Learning. - Chi-Ken Lu; Patrick Shafto (CoRR, 2020)

The Sound of Pedagogical Questions. - Igor Bascandziev; Patrick Shafto; Elizabeth Bonawitz (CogSci, 2021)

Making Heads or Tails of it: A Competition-Compensation Account of Morphological Deficits in Language Impairment. - Zara Harmon; Libby Barak; Patrick Shafto; Jan Edwards; Naomi H. Feldman (CogSci, 2021)

Inferring Knowledge from Behavior in Search-and-rescue Tasks. - Scott Cheng-Hsin Yang; Sean Anderson; Pei Wang; Chirag Rank; Tomas Folke; Patrick Shafto (CogSci, 2021)

Interactive Learning from Activity Description. - Khanh Nguyen; Dipendra Misra; Robert E. Schapire; Miroslav Dudík; Patrick Shafto (ICML, 2021)

Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching. - Scott Cheng-Hsin Yang; Wai Keen Vong; Ravi B. Sojitra; Tomas Folke; Patrick Shafto (CoRR, 2021)

Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport. - Arash Givchi; Pei Wang; Junqi Wang 002; Patrick Shafto (CoRR, 2021)

Efficient Discretizations of Optimal Transport. - Junqi Wang 002; Pei Wang; Patrick Shafto (CoRR, 2021)

Abstraction, Validation, and Generalization for Explainable Artificial Intelligence. - Scott Cheng-Hsin Yang; Tomas Folke; Patrick Shafto (CoRR, 2021)

Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching. - Tomas Folke; Scott Cheng-Hsin Yang; Sean Anderson; Patrick Shafto (CoRR, 2021)

Explainable AI for Natural Adversarial Images. - Tomas Folke; Zhaobin Li; Ravi B. Sojitra; Scott Cheng-Hsin Yang; Patrick Shafto (CoRR, 2021)

Probabilistic Inverse Optimal Transport. - Wei-Ting Chiu; Pei Wang; Patrick Shafto (CoRR, 2021)

Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning. - Chi-Ken Lu; Patrick Shafto (Entropy, 2021)

Conditional Deep Gaussian Processes: Multi-Fidelity Kernel Learning. - Chi-Ken Lu; Patrick Shafto (Entropy, 2021)

Can children recognize pedagogical intent in the prosody of speech? - Igor Bascandziev; Michael LaSorsa; Patrick Shafto; Elizabeth Bonawitz (CogSci, 2022)

Discrete Probabilistic Inverse Optimal Transport. - Wei-Ting Chiu; Pei Wang; Patrick Shafto (ICML, 2022)

A Psychological Theory of Explainability. - Scott Cheng-Hsin Yang; Tomas Folke; Patrick Shafto (ICML, 2022)

On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel. - Chi-Ken Lu; Patrick Shafto (CoRR, 2022)

Evolution of beliefs in social networks. - Pushpi Paranamana; Pei Wang; Patrick Shafto (CoRR, 2022)

Modeling Substitution Errors in Spanish Morphology Learning. - Libby Barak; Nathalie Fernandez Echeverri; Naomi H. Feldman; Patrick Shafto (CogSci, 2023)

Coupled Variational Autoencoder. - Xiaoran Hao; Patrick Shafto (ICML, 2023)

Common Ground in Cooperative Communication. - Xiaoran Hao; Yash Jhaveri; Patrick Shafto (NeurIPS, 2023)

Generalized Belief Transport. - Junqi Wang 002; Pei Wang; Patrick Shafto (NeurIPS, 2023)

Human Variability and the Explore-Exploit Trade-Off in Recommendation. - Scott Cheng-Hsin Yang; Chirag Rank; Jake Alden Whritner; Olfa Nasraoui; Patrick Shafto (Cogn. Sci., 2023)

Efficient Discretization of Optimal Transport. - Junqi Wang 002; Pei Wang; Patrick Shafto (Entropy, 2023)

When Children's Production Deviates From Observed Input: Modeling the Variable Production of the English Past Tense. - Libby Barak; Zara Harmon; Naomi H. Feldman; Jan Edwards; Patrick Shafto (Cogn. Sci., 2023)

On Feasibility of Intent Obfuscating Attacks. - Zhaobin Li; Patrick Shafto (AIES (1), 2024)

Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning. - Harley Wiltzer; Marc G. Bellemare; David Meger; Patrick Shafto; Yash Jhaveri (NeurIPS, 2024)

Structured Evaluation of Synthetic Tabular Data. - Scott Cheng-Hsin Yang; Baxter Eaves; Michael Schmidt; Ken Swanson; Patrick Shafto (CoRR, 2024)

The Inner Loop of Collective Human-Machine Intelligence. - Scott Cheng-Hsin Yang; Tomas Folke; Patrick Shafto (Top. Cogn. Sci., 2025)