Patrick Shafto

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 70

Top Topics

Empirical Bayes

Gaussian Process

Top Venues

Publications

Scott Cheng-Hsin Yang, Baxter Eaves, Michael Schmidt, Ken Swanson, Patrick Shafto
Structured Evaluation of Synthetic Tabular Data. CoRR (2024)
Xiaoran Hao, Yash Jhaveri, Patrick Shafto
Common Ground in Cooperative Communication. NeurIPS (2023)
Libby Barak, Nathalie Fernandez Echeverri, Naomi H. Feldman, Patrick Shafto
Modeling Substitution Errors in Spanish Morphology Learning. CogSci (2023)
Xiaoran Hao, Patrick Shafto
Coupled Variational Autoencoder. ICML (2023)
Junqi Wang, Pei Wang, Patrick Shafto
Efficient Discretization of Optimal Transport. Entropy 25 (6) (2023)
Libby Barak, Zara Harmon, Naomi H. Feldman, Jan Edwards, Patrick Shafto
When Children's Production Deviates From Observed Input: Modeling the Variable Production of the English Past Tense. Cogn. Sci. 47 (8) (2023)
Scott Cheng-Hsin Yang, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, Patrick Shafto
Human Variability and the Explore-Exploit Trade-Off in Recommendation. Cogn. Sci. 47 (4) (2023)
Xiaoran Hao, Patrick Shafto
Coupled Variational Autoencoder. CoRR (2023)
Junqi Wang, Pei Wang, Patrick Shafto
Generalized Belief Transport. NeurIPS (2023)
Chi-Ken Lu, Patrick Shafto
On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel. CoRR (2022)
Pushpi Paranamana, Pei Wang, Patrick Shafto
Evolution of beliefs in social networks. CoRR (2022)
Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
A Psychological Theory of Explainability. ICML (2022)
Wei-Ting Chiu, Pei Wang, Patrick Shafto
Discrete Probabilistic Inverse Optimal Transport. ICML (2022)
Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
A psychological theory of explainability. CoRR (2022)
Igor Bascandziev, Michael LaSorsa, Patrick Shafto, Elizabeth Bonawitz
Can children recognize pedagogical intent in the prosody of speech? CogSci (2022)
Zara Harmon, Libby Barak, Patrick Shafto, Jan Edwards, Naomi H. Feldman
Making Heads or Tails of it: A Competition-Compensation Account of Morphological Deficits in Language Impairment. CogSci (2021)
Scott Cheng-Hsin Yang, Sean Anderson, Pei Wang, Chirag Rank, Tomas Folke, Patrick Shafto
Inferring Knowledge from Behavior in Search-and-rescue Tasks. CogSci (2021)
Igor Bascandziev, Patrick Shafto, Elizabeth Bonawitz
The Sound of Pedagogical Questions. CogSci (2021)
Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto
Interactive Learning from Activity Description. ICML (2021)
Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra, Tomas Folke, Patrick Shafto
Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching. CoRR (2021)
Arash Givchi, Pei Wang, Junqi Wang, Patrick Shafto
Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport. CoRR (2021)
Tomas Folke, Zhaobin Li, Ravi B. Sojitra, Scott Cheng-Hsin Yang, Patrick Shafto
Explainable AI for Natural Adversarial Images. CoRR (2021)
Chi-Ken Lu, Patrick Shafto
Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning. CoRR (2021)
Chi-Ken Lu, Patrick Shafto
Conditional Deep Gaussian Processes: Multi-Fidelity Kernel Learning. Entropy 23 (11) (2021)
Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence. CoRR (2021)
Chi-Ken Lu, Patrick Shafto
Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning. Entropy 23 (11) (2021)
Junqi Wang, Pei Wang, Patrick Shafto
Efficient Discretizations of Optimal Transport. CoRR (2021)
Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto
Interactive Learning from Activity Description. CoRR (2021)
Wei-Ting Chiu, Pei Wang, Patrick Shafto
Probabilistic Inverse Optimal Transport. CoRR (2021)
Tomas Folke, Scott Cheng-Hsin Yang, Sean Anderson, Patrick Shafto
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching. CoRR (2021)
Junqi Wang, Pei Wang, Patrick Shafto
Sequential Cooperative Bayesian Inference. CoRR (2020)
Pei Wang, Junqi Wang, Pushpi Paranamana, Patrick Shafto
A mathematical theory of cooperative communication. NeurIPS (2020)
Igor Bascandziev, Patrick Shafto, Elizabeth Bonawitz
Prosodic Features Carry Information About a Question's Intent. CogSci (2020)
Elizabeth Bonawitz, Patrick Shafto, Yue Yu, Aaron Gonzalez, Sophie Bridgers
Children Change Their Answers in Response to Neutral Follow-Up Questions by a Knowledgeable Asker. Cogn. Sci. 44 (1) (2020)
Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto
Interpretable Deep Gaussian Processes with Moments. AISTATS (2020)
Libby Barak, Scott Cheng-Hsin Yang, Chirag Rank, Patrick Shafto
Replicating L2 learning in a Computational Model. CogSci (2020)
Junqi Wang, Pei Wang, Patrick Shafto
Sequential Cooperative Bayesian Inference. ICML (2020)
Chi-Ken Lu, Patrick Shafto
Multi-source Deep Gaussian Process Kernel Learning. CoRR (2020)
Roberto Confalonieri, Tarek R. Besold, Tillman Weyde, Kathleen Creel, Tania Lombrozo, Shane T. Mueller, Patrick Shafto
What makes a good explanation? Cognitive dimensions of explaining intelligent machines. CogSci (2019)
Emily N. Daubert, Patrick Shafto
Cognitive Science Society Workshop: Guided Playful Learning. CogSci (2019)
Pei Wang, Arash Givchi, Patrick Shafto
Manifold learning from a teacher's demonstrations. CoRR (2019)
Wenlong Sun, Sami Khenissi, Olfa Nasraoui, Patrick Shafto
Debiasing the Human-Recommender System Feedback Loop in Collaborative Filtering. WWW (Companion Volume) (2019)
Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto
Interpretable deep Gaussian processes. CoRR (2019)
Pei Wang, Pushpi Paranamana, Patrick Shafto
Generalizing the theory of cooperative inference. AISTATS (2019)
Anishka Jean, Emily N. Daubert, Yue Yu, Patrick Shafto, Elizabeth Bonawitz
Pedagogical Questions Empower Exploration. CogSci (2019)
Scott Cheng-Hsin Yang, Wai Keen Vong, Yue Yu, Patrick Shafto
A Unifying Computational Framework for Teaching and Active Learning. Top. Cogn. Sci. 11 (2) (2019)
Pei Wang, Junqi Wang, Pushpi Paranamana, Patrick Shafto
A mathematical theory of cooperative communication. CoRR (2019)
Ilona Bass, Patrick Shafto, Elizabeth Bonawitz
That'll Teach 'em: How Expectations about Teaching Styles may Constrain Inferences. CogSci (2018)
Mahsa Badami, Olfa Nasraoui, Patrick Shafto
PrCP: Pre-recommendation Counter-Polarization. KDIR (2018)
Wai Keen Vong, Ravi B. Sojitra, Anderson Reyes, Scott Cheng-Hsin Yang, Patrick Shafto
Bayesian Teaching of Image Categories. CogSci (2018)
Wenlong Sun, Olfa Nasraoui, Patrick Shafto
Iterated Algorithmic Bias in the Interactive Machine Learning Process of Information Filtering. KDIR (2018)
Amy Perfors, Danielle J. Navarro, Patrick Shafto
Stronger evidence isn't always better: A role for social inference in evidence selection and interpretation. CogSci (2018)
Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto
Optimal Cooperative Inference. AISTATS (2018)
Koeun Choi, Elizabeth Lapidow, Jennifer Austin, Patrick Shafto, Elizabeth Bonawitz
Preschoolers are more likely to direct questions to adults than to other children (or selves) during spontaneous conversational acts. CogSci (2018)
Chi-Ken Lu, Scott Cheng-Hsin Yang, Patrick Shafto
Standing Wave Decomposition Gaussian Process. CoRR (2018)
Pei Wang, Pushpi Paranamana, Patrick Shafto
Generalizing the theory of cooperative inference. CoRR (2018)
Mahsa Badami, Olfa Nasraoui, Wenlong Sun, Patrick Shafto
Detecting polarization in ratings: An automated pipeline and a preliminary quantification on several benchmark data sets. IEEE BigData (2017)
Lewis Baker, Vanessa Lobue, Elizabeth Bonawitz, Patrick Shafto
Towards Automated Classification of Emotional Facial Expressions. CogSci (2017)
Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto
Optimal Cooperative Inference. CoRR (2017)
Scott Cheng-Hsin Yang, Jake Alden Whritner, Olfa Nasraoui, Patrick Shafto
Unifying recommendation and active learning for human-algorithm interactions. CogSci (2017)
Yue Yu, Elizabeth Bonawitz, Patrick Shafto
Inconvenient samples: Modeling the effects of non-consent by coupling observational and experimental results. CogSci (2017)
Scott Cheng-Hsin Yang, Patrick Shafto
Teaching Versus Active Learning: A Computational Analysis of Conditions that Affect Learning. CogSci (2017)
Ilona Bass, Elizabeth Bonawitz, Patrick Shafto, Dhaya Ramarajan, Alison Gopnik, Henry Wellman
I know what you need to know: Children's developing theory of mind and pedagogical evidence selection. CogSci (2017)
Yue Yu, Elizabeth Bonawitz, Patrick Shafto
Questions in informal teaching: A study of mother-child conversations. CogSci (2016)
Baxter S. Eaves Jr., Patrick Shafto
Toward a general, scaleable framework for Bayesian teaching with applications to topic models. CoRR (2016)
Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths, Patrick Shafto
Faster Teaching via POMDP Planning. Cogn. Sci. 40 (6) (2016)
Patrick Shafto, Olfa Nasraoui
Human-Recommender Systems: From Benchmark Data to Benchmark Cognitive Models. RecSys (2016)
Olfa Nasraoui, Patrick Shafto
Human-Algorithm Interaction Biases in the Big Data Cycle: A Markov Chain Iterated Learning Framework. CoRR (2016)
Vikash Mansinghka, Patrick Shafto, Eric Jonas, Cap Petschulat, Max Gasner, Joshua B. Tenenbaum
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data. J. Mach. Learn. Res. 17 (2016)
Baxter S. Eaves Jr., Naomi H. Feldman, Thomas L. Griffiths, Patrick Shafto
Infant directed speech is consistent with teaching. CoRR (2016)
Kelley Durkin, Leyla Roksan Caglar, Elizabeth Baraff Bonawitz, Patrick Shafto
Explaining Choice Behavior: The Intentional Selection Assumption. CogSci (2015)
Vikash K. Mansinghka, Patrick Shafto, Eric Jonas, Cap Petschulat, Max Gasner, Joshua B. Tenenbaum
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data. CoRR (2015)
Asheley Landrum, Joshua Cloudy, Patrick Shafto
More than true: Developmental changes in use of the inductive strength for selective trust. CogSci (2015)
Judith Danovitch, Nicholaus S. Noles, Patrick Shafto
How Children Seek Out Information from Technological and Human Informants. EAPCogSci (2015)
Nicholaus S. Noles, Judith Danovitch, Patrick Shafto
Children's Trust in Technological and Human Informants. CogSci (2015)
Vikash K. Mansinghka, Richard Tibbetts, Jay Baxter, Patrick Shafto, Baxter Eaves
BayesDB: A probabilistic programming system for querying the probable implications of data. CoRR (2015)
Baxter Eaves, Patrick Shafto
Order effects in learning relational structures. CogSci (2014)
Marjorie Rhodes, Elizabeth Baraff Bonawitz, Patrick Shafto, Annie Chen
Controlling the message: Preschoolers' use of evidence to teach and deceive others. CogSci (2014)
Hyowon Gweon, Patrick Shafto, Laura Schulz
Children consider prior knowledge and the cost of information both in learning from and teaching others. CogSci (2014)
Nicholas Searcy, Patrick Shafto
Biases for learning from teaching. CogSci (2014)
Aaron Gonzalez, Patrick Shafto, Elizabeth Baraff Bonawitz, Alison Gopnik
Is that your final answer? The effects of neutral queries on children's choices. CogSci (2012)
Patrick Shafto, Hyowon Gweon, Chris Fargen, Laura Schulz
Enough is enough: Inductive sufficiency guides learners' ratings of informant helpfulness. CogSci (2012)
Hyowon Gweon, Patrick Shafto, Joshua B. Tenenbaum, Laura Schulz
Children's sensitivity to informant's inductive efficiency and learner's epistemic states in pedagogical contexts. CogSci (2012)
Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths, Patrick Shafto
Faster Teaching by POMDP Planning. AIED (2011)
Neil Smith, Patrick Shafto
The Role of Cross-cutting Systems of Categories in Category-based Induction. CogSci (2011)
Robert Montague, Daniel J. Navarro, Amy Perfors, Russell Warner, Patrick Shafto
To catch a liar: The effects of truthful and deceptive testimony on inferential learning. CogSci (2011)
Russell Warner, Todd Stoess, Patrick Shafto
Reasoning in teaching and misleading situations. CogSci (2011)
Dazhuo Li, Patrick Shafto
Bayesian Hierarchical Cross-Clustering. AISTATS (2011)
Dazhuo Li, Eric C. Rouchka, Patrick Shafto
Phylogenomic Analysis Using Bayesian Congruence Measuring. BICoB (2010)
Patrick Shafto, Noah D. Goodman
A Bayesian Model of Pedagogical Reasoning. AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence (2008)
Charles Kemp, Patrick Shafto, Allison Berke, Joshua B. Tenenbaum
Combining causal and similarity-based reasoning. NIPS (2006)