Patrick Shafto

According to our database, Patrick Shafto authored at least 84 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning.

Harley Wiltzer, Marc G. Bellemare, David Meger, Patrick Shafto, Yash Jhaveri

CoRR, 2024

On Feasibility of Intent Obfuscating Attacks.

Zhaobin Li, Patrick Shafto

CoRR, 2024

Structured Evaluation of Synthetic Tabular Data.

Scott Cheng-Hsin Yang, Baxter Eaves, Michael Schmidt, Ken Swanson, Patrick Shafto

CoRR, 2024

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., August, 2023

Efficient Discretization of Optimal Transport.

Junqi Wang, Pei Wang, Patrick Shafto

Entropy, June, 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., April, 2023

Generalized Belief Transport.

Junqi Wang, Pei Wang, Patrick Shafto

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

Common Ground in Cooperative Communication.

Xiaoran Hao, Yash Jhaveri, Patrick Shafto

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

Coupled Variational Autoencoder.

Xiaoran Hao, Patrick Shafto

Proceedings of the International Conference on Machine Learning, 2023

Modeling Substitution Errors in Spanish Morphology Learning.

Libby Barak, Nathalie Fernandez Echeverri, Naomi H. Feldman, Patrick Shafto

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

2022

Evolution of beliefs in social networks.

Pushpi Paranamana, Pei Wang, Patrick Shafto

CoRR, 2022

On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel.

Chi-Ken Lu, Patrick Shafto

CoRR, 2022

A Psychological Theory of Explainability.

Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto

Proceedings of the International Conference on Machine Learning, 2022

Discrete Probabilistic Inverse Optimal Transport.

Wei-Ting Chiu, Pei Wang, Patrick Shafto

Proceedings of the International Conference on Machine Learning, 2022

Can children recognize pedagogical intent in the prosody of speech?

Igor Bascandziev, Michael LaSorsa, Patrick Shafto, Elizabeth Bonawitz

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

2021

Conditional Deep Gaussian Processes: Multi-Fidelity Kernel Learning.

Chi-Ken Lu, Patrick Shafto

Entropy, 2021

Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning.

Chi-Ken Lu, Patrick Shafto

Entropy, 2021

Probabilistic Inverse Optimal Transport.

Wei-Ting Chiu, Pei Wang, 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

Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching.

Tomas Folke, Scott Cheng-Hsin Yang, Sean Anderson, Patrick Shafto

CoRR, 2021

Abstraction, Validation, and Generalization for Explainable Artificial Intelligence.

Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto

CoRR, 2021

Efficient Discretizations of Optimal Transport.

Junqi Wang, Pei Wang, Patrick Shafto

CoRR, 2021

Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport.

Arash Givchi, Pei Wang, Junqi Wang, Patrick Shafto

CoRR, 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

Interactive Learning from Activity Description.

Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto

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

Inferring Knowledge from Behavior in Search-and-rescue Tasks.

Scott Cheng-Hsin Yang, Sean Anderson, Pei Wang, Chirag Rank, Tomas Folke, Patrick Shafto

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

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

The Sound of Pedagogical Questions.

Igor Bascandziev, Patrick Shafto, Elizabeth Bonawitz

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

2020

Multi-source Deep Gaussian Process Kernel Learning.

Chi-Ken Lu, Patrick Shafto

CoRR, 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

A mathematical theory of cooperative communication.

Pei Wang, Junqi Wang, Pushpi Paranamana, Patrick Shafto

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sequential Cooperative Bayesian Inference.

Junqi Wang, Pei Wang, Patrick Shafto

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

Prosodic Features Carry Information About a Question's Intent.

Igor Bascandziev, Patrick Shafto, Elizabeth Bonawitz

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

Replicating L2 learning in a Computational Model.

Libby Barak, Scott Cheng-Hsin Yang, Chirag Rank, Patrick Shafto

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

Interpretable Deep Gaussian Processes with Moments.

Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

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

Manifold learning from a teacher's demonstrations.

Pei Wang, Arash Givchi, Patrick Shafto

CoRR, 2019

Interpretable deep Gaussian processes.

Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto

CoRR, 2019

Debiasing the Human-Recommender System Feedback Loop in Collaborative Filtering.

Wenlong Sun, Sami Khenissi, Olfa Nasraoui, Patrick Shafto

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Pedagogical Questions Empower Exploration.

Anishka Jean, Emily N. Daubert, Yue Yu, Patrick Shafto, Elizabeth Bonawitz

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

Cognitive Science Society Workshop: Guided Playful Learning.

Emily N. Daubert, Patrick Shafto

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

What makes a good explanation? Cognitive dimensions of explaining intelligent machines.

Roberto Confalonieri, Tarek R. Besold, Tillman Weyde, Kathleen Creel, Tania Lombrozo, Shane T. Mueller, Patrick Shafto

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

Generalizing the theory of cooperative inference.

Pei Wang, Pushpi Paranamana, Patrick Shafto

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Standing Wave Decomposition Gaussian Process.

Chi-Ken Lu, Scott Cheng-Hsin Yang, Patrick Shafto

CoRR, 2018

Iterated Algorithmic Bias in the Interactive Machine Learning Process of Information Filtering.

Wenlong Sun, Olfa Nasraoui, Patrick Shafto

Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

PrCP: Pre-recommendation Counter-Polarization.

Mahsa Badami, Olfa Nasraoui, Patrick Shafto

Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Bayesian Teaching of Image Categories.

Wai Keen Vong, Ravi B. Sojitra, Anderson Reyes, Scott Cheng-Hsin Yang, Patrick Shafto

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

Stronger evidence isn't always better: A role for social inference in evidence selection and interpretation.

Amy Perfors, Danielle J. Navarro, Patrick Shafto

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

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

That'll Teach 'em: How Expectations about Teaching Styles may Constrain Inferences.

Ilona Bass, Patrick Shafto, Elizabeth Bonawitz

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

Optimal Cooperative Inference.

Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Inconvenient samples: Modeling the effects of non-consent by coupling observational and experimental results.

Yue Yu, Elizabeth Bonawitz, Patrick Shafto

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

Unifying recommendation and active learning for human-algorithm interactions.

Scott Cheng-Hsin Yang, Jake Alden Whritner, Olfa Nasraoui, Patrick Shafto

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

Teaching Versus Active Learning: A Computational Analysis of Conditions that Affect Learning.

Scott Cheng-Hsin Yang, Patrick Shafto

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

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

Towards Automated Classification of Emotional Facial Expressions.

Lewis Baker, Vanessa Lobue, Elizabeth Bonawitz, Patrick Shafto

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

Detecting polarization in ratings: An automated pipeline and a preliminary quantification on several benchmark data sets.

Mahsa Badami, Olfa Nasraoui, Wenlong Sun, Patrick Shafto

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data.

Vikash Mansinghka, Patrick Shafto, Eric Jonas, Cap Petschulat, Max Gasner, Joshua B. Tenenbaum

J. Mach. Learn. Res., 2016

Human-Algorithm Interaction Biases in the Big Data Cycle: A Markov Chain Iterated Learning Framework.

Olfa Nasraoui, 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

Infant directed speech is consistent with teaching.

Baxter S. Eaves Jr., Naomi H. Feldman, Thomas L. Griffiths, Patrick Shafto

CoRR, 2016

Faster Teaching via POMDP Planning.

Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths, Patrick Shafto

Cogn. Sci., 2016

Human-Recommender Systems: From Benchmark Data to Benchmark Cognitive Models.

Patrick Shafto, Olfa Nasraoui

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Questions in informal teaching: A study of mother-child conversations.

Yue Yu, Elizabeth Bonawitz, Patrick Shafto

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

2015

BayesDB: A probabilistic programming system for querying the probable implications of data.

Vikash Mansinghka, Richard Tibbetts, Jay Baxter, Patrick Shafto, Baxter Eaves

CoRR, 2015

How Children Seek Out Information from Technological and Human Informants.

Judith Danovitch, Nicholaus S. Noles, Patrick Shafto

Proceedings of the EuroAsianPacific Joint Conference on Cognitive Science / 4th European Conference on Cognitive Science / 11th International Conference on Cognitive Science, 2015

Children's Trust in Technological and Human Informants.

Nicholaus S. Noles, Judith Danovitch, Patrick Shafto

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

More than true: Developmental changes in use of the inductive strength for selective trust.

Asheley Landrum, Joshua Cloudy, Patrick Shafto

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

Explaining Choice Behavior: The Intentional Selection Assumption.

Kelley Durkin, Leyla Roksan Caglar, Elizabeth Baraff Bonawitz, Patrick Shafto

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

2014

Biases for learning from teaching.

Nicholas Searcy, Patrick Shafto

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

Controlling the message: Preschoolers' use of evidence to teach and deceive others.

Marjorie Rhodes, Elizabeth Baraff Bonawitz, Patrick Shafto, Annie Chen

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

Children consider prior knowledge and the cost of information both in learning from and teaching others.

Hyowon Gweon, Patrick Shafto, Laura Schulz

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

Order effects in learning relational structures.

Baxter Eaves, Patrick Shafto

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

2012

Enough is enough: Inductive sufficiency guides learners' ratings of informant helpfulness.

Patrick Shafto, Hyowon Gweon, Chris Fargen, Laura Schulz

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

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

Is that your final answer? The effects of neutral queries on children's choices.

Aaron Gonzalez, Patrick Shafto, Elizabeth Baraff Bonawitz, Alison Gopnik

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

2011

Bayesian Hierarchical Cross-Clustering.

Dazhuo Li, Patrick Shafto

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Reasoning in teaching and misleading situations.

Russell Warner, Todd Stoess, Patrick Shafto

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

The Role of Cross-cutting Systems of Categories in Category-based Induction.

Neil Smith, Patrick Shafto

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

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

Faster Teaching by POMDP Planning.

Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths, Patrick Shafto

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

2010

Phylogenomic Analysis Using Bayesian Congruence Measuring.

Dazhuo Li, Eric C. Rouchka, Patrick Shafto

Proceedings of the ISCA 2nd International Conference on Bioinformatics and Computational Biology, 2010

2008

A Bayesian Model of Pedagogical Reasoning.

Patrick Shafto, Noah D. Goodman

Proceedings of the Naturally-Inspired Artificial Intelligence, 2008

2006

Combining causal and similarity-based reasoning.

Charles Kemp, Patrick Shafto, Allison Berke, Joshua B. Tenenbaum

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