Patrick Shafto

102 papers A* 9A 6B 37Journal 41Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning. CoRR Yash Jhaveri, Harley Wiltzer, Patrick Shafto, Marc G. Bellemare, David Meger
2025	J	`jnl`	Detecting and reacting to smart home novelties. Data Min. Knowl. Discov. Lawrence B. Holder, Baxter Eaves, Patrick Shafto, Christopher Pereyda, Brian L. Thomas, Diane J. Cook
2025	B	`conf`	Learning from thought experiments in early childhood. CogSci Igor Bascandziev, Garvin Brod, Patrick Shafto, Elizabeth Bonawitz
2025	J	`jnl`	The Inner Loop of Collective Human-Machine Intelligence. Top. Cogn. Sci. Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
2024	A*	`conf`	Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning. NeurIPS Harley Wiltzer, Marc G. Bellemare, David Meger, Patrick Shafto, Yash Jhaveri
2024	J	`jnl`	Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning. CoRR Harley Wiltzer, Marc G. Bellemare, David Meger, Patrick Shafto, Yash Jhaveri
2024	B	`conf`	Assessing Common Ground through Language-based Cultural Consensus in Humans and Large Language Models. CogSci Sophie Domanski, Rachel Rudinger, Marine Carpuat, Patrick Shafto, Yi Ting Huang
2024	—	`conf`	On Feasibility of Intent Obfuscating Attacks. AIES (1) ZhaoBin Li, Patrick Shafto
2024	J	`jnl`	On Feasibility of Intent Obfuscating Attacks. CoRR ZhaoBin Li, Patrick Shafto
2024	B	`conf`	Parents modify their prosody when asking questions with pedagogical intent. CogSci Igor Bascandziev, Patrick Shafto, Elizabeth Bonawitz
2024	J	`jnl`	Structured Evaluation of Synthetic Tabular Data. CoRR Scott Cheng-Hsin Yang, Baxter Eaves, Michael D. Schmidt, Ken Swanson, Patrick Shafto
2024	B	`conf`	The alignment problem in curriculum learning. CogSci Patrick Shafto, Benjamin Sheller
2023	A*	`conf`	Common Ground in Cooperative Communication. NeurIPS Xiaoran Hao, Yash Jhaveri, Patrick Shafto
2023	A*	`conf`	Coupled Variational Autoencoder. ICML Xiaoran Hao, Patrick Shafto
2023	J	`jnl`	Coupled Variational Autoencoder. CoRR Xiaoran Hao, Patrick Shafto
2023	J	`jnl`	Efficient Discretization of Optimal Transport. Entropy Junqi Wang, Pei Wang, Patrick Shafto
2023	A*	`conf`	Generalized Belief Transport. NeurIPS Junqi Wang, Pei Wang, Patrick Shafto
2023	J	`jnl`	Human Variability and the Explore-Exploit Trade-Off in Recommendation. Cogn. Sci. Scott Cheng-Hsin Yang, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, Patrick Shafto
2023	B	`conf`	Modeling Substitution Errors in Spanish Morphology Learning. CogSci Libby Barak, Nathalie Fernandez Echeverri, Naomi H. Feldman, Patrick Shafto
2023	J	`jnl`	When Children's Production Deviates From Observed Input: Modeling the Variable Production of the English Past Tense. Cogn. Sci. Libby Barak, Zara Harmon, Naomi H. Feldman, Jan Edwards, Patrick Shafto
2022	A*	`conf`	A Psychological Theory of Explainability. ICML Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
2022	J	`jnl`	A psychological theory of explainability. CoRR Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
2022	B	`conf`	Can children recognize pedagogical intent in the prosody of speech? CogSci Igor Bascandziev, Michael LaSorsa, Patrick Shafto, Elizabeth Bonawitz
2022	A*	`conf`	Discrete Probabilistic Inverse Optimal Transport. ICML Wei-Ting Chiu, Pei Wang, Patrick Shafto
2022	J	`jnl`	Evolution of beliefs in social networks. CoRR Pushpi Paranamana, Pei Wang, Patrick Shafto
2022	J	`jnl`	On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel. CoRR Chi-Ken Lu, Patrick Shafto
2021	J	`jnl`	Abstraction, Validation, and Generalization for Explainable Artificial Intelligence. CoRR Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto
2021	J	`jnl`	Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning. Entropy Chi-Ken Lu, Patrick Shafto
2021	J	`jnl`	Conditional Deep Gaussian Processes: Multi-Fidelity Kernel Learning. Entropy Chi-Ken Lu, Patrick Shafto
2021	J	`jnl`	Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning. CoRR Chi-Ken Lu, Patrick Shafto
2021	J	`jnl`	Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport. CoRR Arash Givchi, Pei Wang, Junqi Wang, Patrick Shafto
2021	J	`jnl`	Efficient Discretizations of Optimal Transport. CoRR Junqi Wang, Pei Wang, Patrick Shafto
2021	J	`jnl`	Explainable AI for Natural Adversarial Images. CoRR Tomas Folke, ZhaoBin Li, Ravi B. Sojitra, Scott Cheng-Hsin Yang, Patrick Shafto
2021	J	`jnl`	Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching. CoRR Tomas Folke, Scott Cheng-Hsin Yang, Sean Anderson, Patrick Shafto
2021	B	`conf`	Inferring Knowledge from Behavior in Search-and-rescue Tasks. CogSci Scott Cheng-Hsin Yang, Sean Anderson, Pei Wang, Chirag Rank, Tomas Folke, Patrick Shafto
2021	A*	`conf`	Interactive Learning from Activity Description. ICML Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto
2021	J	`jnl`	Interactive Learning from Activity Description. CoRR Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto
2021	B	`conf`	Making Heads or Tails of it: A Competition-Compensation Account of Morphological Deficits in Language Impairment. CogSci Zara Harmon, Libby Barak, Patrick Shafto, Jan Edwards, Naomi H. Feldman
2021	J	`jnl`	Mitigating belief projection in explainable artificial intelligence via Bayesian Teaching. CoRR Scott Cheng-Hsin Yang, Wai Keen Vong, Ravi B. Sojitra, Tomas Folke, Patrick Shafto
2021	J	`jnl`	Probabilistic Inverse Optimal Transport. CoRR Wei-Ting Chiu, Pei Wang, Patrick Shafto
2021	B	`conf`	The Sound of Pedagogical Questions. CogSci Igor Bascandziev, Patrick Shafto, Elizabeth Bonawitz
2020	A*	`conf`	A mathematical theory of cooperative communication. NeurIPS Pei Wang, Junqi Wang, Pushpi Paranamana, Patrick Shafto
2020	J	`jnl`	Children Change Their Answers in Response to Neutral Follow-Up Questions by a Knowledgeable Asker. Cogn. Sci. Elizabeth Bonawitz, Patrick Shafto, Yue Yu, Aaron Gonzalez, Sophie Bridgers
2020	A	`conf`	Interpretable Deep Gaussian Processes with Moments. AISTATS Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto
2020	J	`jnl`	Multi-source Deep Gaussian Process Kernel Learning. CoRR Chi-Ken Lu, Patrick Shafto
2020	B	`conf`	Prosodic Features Carry Information About a Question's Intent. CogSci Igor Bascandziev, Patrick Shafto, Elizabeth Bonawitz
2020	B	`conf`	Replicating L2 learning in a Computational Model. CogSci Libby Barak, Scott Cheng-Hsin Yang, Chirag Rank, Patrick Shafto
2020	A*	`conf`	Sequential Cooperative Bayesian Inference. ICML Junqi Wang, Pei Wang, Patrick Shafto
2020	J	`jnl`	Sequential Cooperative Bayesian Inference. CoRR Junqi Wang, Pei Wang, Patrick Shafto
2019	J	`jnl`	A Unifying Computational Framework for Teaching and Active Learning. Top. Cogn. Sci. Scott Cheng-Hsin Yang, Wai Keen Vong, Yue Yu, Patrick Shafto
2019	J	`jnl`	A mathematical theory of cooperative communication. CoRR Pei Wang, Junqi Wang, Pushpi Paranamana, Patrick Shafto
2019	—	`conf`	Debiasing the Human-Recommender System Feedback Loop in Collaborative Filtering. WWW (Companion Volume) Wenlong Sun, Sami Khenissi, Olfa Nasraoui, Patrick Shafto
2019	A	`conf`	Generalizing the theory of cooperative inference. AISTATS Pei Wang, Pushpi Paranamana, Patrick Shafto
2019	B	`conf`	Guided Playful Learning: Developmental, Computational, and Educational Perspectives. CogSci Emily N. Daubert, Patrick Shafto
2019	J	`jnl`	Interpretable deep Gaussian processes. CoRR Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto
2019	J	`jnl`	Manifold learning from a teacher's demonstrations. CoRR Pei Wang, Arash Givchi, Patrick Shafto
2019	B	`conf`	Pedagogical Questions Empower Exploration. CogSci Anishka Jean, Emily N. Daubert, Yue Yu, Patrick Shafto, Elizabeth Bonawitz
2019	B	`conf`	What makes a good explanation? Cognitive dimensions of explaining intelligent machines. CogSci Roberto Confalonieri, Tarek R. Besold, Tillman Weyde, Kathleen Creel, Tania Lombrozo, Shane T. Mueller, Patrick Shafto
2018	B	`conf`	Bayesian Teaching of Image Categories. CogSci Wai Keen Vong, Ravi B. Sojitra, Anderson Reyes, Scott Cheng-Hsin Yang, Patrick Shafto
2018	J	`jnl`	Generalizing the theory of cooperative inference. CoRR Pei Wang, Pushpi Paranamana, Patrick Shafto
2018	—	`conf`	Iterated Algorithmic Bias in the Interactive Machine Learning Process of Information Filtering. KDIR Wenlong Sun, Olfa Nasraoui, Patrick Shafto
2018	A	`conf`	Optimal Cooperative Inference. AISTATS Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto
2018	—	`conf`	PrCP: Pre-recommendation Counter-Polarization. KDIR Mahsa Badami, Olfa Nasraoui, Patrick Shafto
2018	B	`conf`	Preschoolers are more likely to direct questions to adults than to other children (or selves) during spontaneous conversational acts. CogSci Koeun Choi, Elizabeth Lapidow, Jennifer Austin, Patrick Shafto, Elizabeth Bonawitz
2018	J	`jnl`	Standing Wave Decomposition Gaussian Process. CoRR Chi-Ken Lu, Scott Cheng-Hsin Yang, Patrick Shafto
2018	B	`conf`	Stronger evidence isn't always better: A role for social inference in evidence selection and interpretation. CogSci Amy Perfors, Danielle J. Navarro, Patrick Shafto
2018	B	`conf`	That'll Teach 'em: How Expectations about Teaching Styles may Constrain Inferences. CogSci Ilona Bass, Patrick Shafto, Elizabeth Bonawitz
2017	—	`conf`	Detecting polarization in ratings: An automated pipeline and a preliminary quantification on several benchmark data sets. IEEE BigData Mahsa Badami, Olfa Nasraoui, Wenlong Sun, Patrick Shafto
2017	B	`conf`	I know what you need to know: Children's developing theory of mind and pedagogical evidence selection. CogSci Ilona Bass, Elizabeth Bonawitz, Patrick Shafto, Dhaya Ramarajan, Alison Gopnik, Henry Wellman
2017	B	`conf`	Inconvenient samples: Modeling the effects of non-consent by coupling observational and experimental results. CogSci Yue Yu, Elizabeth Bonawitz, Patrick Shafto
2017	J	`jnl`	Optimal Cooperative Inference. CoRR Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto
2017	B	`conf`	Teaching Versus Active Learning: A Computational Analysis of Conditions that Affect Learning. CogSci Scott Cheng-Hsin Yang, Patrick Shafto
2017	B	`conf`	Towards Automated Classification of Emotional Facial Expressions. CogSci Lewis Baker, Vanessa Lobue, Elizabeth Bonawitz, Patrick Shafto
2017	B	`conf`	Unifying recommendation and active learning for human-algorithm interactions. CogSci Scott Cheng-Hsin Yang, Jake Alden Whritner, Olfa Nasraoui, Patrick Shafto
2016	J	`jnl`	CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data. J. Mach. Learn. Res. Vikash Mansinghka, Patrick Shafto, Eric Jonas, Cap Petschulat, Max Gasner, Joshua B. Tenenbaum
2016	J	`jnl`	Faster Teaching via POMDP Planning. Cogn. Sci. Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths, Patrick Shafto
2016	J	`jnl`	Human-Algorithm Interaction Biases in the Big Data Cycle: A Markov Chain Iterated Learning Framework. CoRR Olfa Nasraoui, Patrick Shafto
2016	A	`conf`	Human-Recommender Systems: From Benchmark Data to Benchmark Cognitive Models. RecSys Patrick Shafto, Olfa Nasraoui
2016	J	`jnl`	Infant directed speech is consistent with teaching. CoRR Baxter S. Eaves Jr., Naomi H. Feldman, Thomas L. Griffiths, Patrick Shafto
2016	B	`conf`	Questions in informal teaching: A study of mother-child conversations. CogSci Yue Yu, Elizabeth Bonawitz, Patrick Shafto
2016	J	`jnl`	Toward a general, scaleable framework for Bayesian teaching with applications to topic models. CoRR Baxter S. Eaves Jr., Patrick Shafto
2015	J	`jnl`	BayesDB: A probabilistic programming system for querying the probable implications of data. CoRR Vikash Mansinghka, Richard Tibbetts, Jay Baxter, Patrick Shafto, Baxter Eaves
2015	B	`conf`	Children's Trust in Technological and Human Informants. CogSci Nicholaus S. Noles, Judith Danovitch, Patrick Shafto
2015	J	`jnl`	CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data. CoRR Vikash Mansinghka, Patrick Shafto, Eric Jonas, Cap Petschulat, Max Gasner, Joshua B. Tenenbaum
2015	B	`conf`	Explaining Choice Behavior: The Intentional Selection Assumption. CogSci Kelley Durkin, Leyla Roksan Caglar, Elizabeth Baraff Bonawitz, Patrick Shafto
2015	—	`conf`	How Children Seek Out Information from Technological and Human Informants. EAPCogSci Judith Danovitch, Nicholaus S. Noles, Patrick Shafto
2015	B	`conf`	More than true: Developmental changes in use of the inductive strength for selective trust. CogSci Asheley Landrum, Joshua Cloudy, Patrick Shafto
2014	B	`conf`	Biases for learning from teaching. CogSci Nicholas Searcy, Patrick Shafto
2014	B	`conf`	Children consider prior knowledge and the cost of information both in learning from and teaching others. CogSci Hyowon Gweon, Patrick Shafto, Laura Schulz
2014	B	`conf`	Controlling the message: Preschoolers' use of evidence to teach and deceive others. CogSci Marjorie Rhodes, Elizabeth Baraff Bonawitz, Patrick Shafto, Annie Chen
2014	B	`conf`	Order effects in learning relational structures. CogSci Baxter Eaves, Patrick Shafto
2012	B	`conf`	Children's sensitivity to informant's inductive efficiency and learner's epistemic states in pedagogical contexts. CogSci Hyowon Gweon, Patrick Shafto, Joshua B. Tenenbaum, Laura Schulz
2012	B	`conf`	Enough is enough: Inductive sufficiency guides learners' ratings of informant helpfulness. CogSci Patrick Shafto, Hyowon Gweon, Chris Fargen, Laura Schulz
2012	B	`conf`	Is that your final answer? The effects of neutral queries on children's choices. CogSci Aaron Gonzalez, Patrick Shafto, Elizabeth Baraff Bonawitz, Alison Gopnik
2011	A	`conf`	Bayesian Hierarchical Cross-Clustering. AISTATS Dazhuo Li, Patrick Shafto
2011	A	`conf`	Faster Teaching by POMDP Planning. AIED Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths, Patrick Shafto
2011	B	`conf`	Reasoning in teaching and misleading situations. CogSci Russell Warner, Todd Stoess, Patrick Shafto
2011	B	`conf`	The Role of Cross-cutting Systems of Categories in Category-based Induction. CogSci Neil Smith, Patrick Shafto
2011	B	`conf`	To catch a liar: The effects of truthful and deceptive testimony on inferential learning. CogSci Robert Montague, Daniel J. Navarro, Amy Perfors, Russell Warner, Patrick Shafto
2010	—	`conf`	Phylogenomic Analysis Using Bayesian Congruence Measuring. BICoB Dazhuo Li, Eric C. Rouchka, Patrick Shafto
2008	—	`conf`	A Bayesian Model of Pedagogical Reasoning. AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence Patrick Shafto, Noah D. Goodman
2006	—	`conf`	Combining causal and similarity-based reasoning. NIPS Charles Kemp, Patrick Shafto, Allison Berke, Joshua B. Tenenbaum