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Patrick Shafto
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2020 – today
- 2024
- [i29]Scott Cheng-Hsin Yang, Baxter Eaves, Michael Schmidt, Ken Swanson, Patrick Shafto:
Structured Evaluation of Synthetic Tabular Data. CoRR abs/2403.10424 (2024) - [i28]Zhaobin Li, Patrick Shafto:
On Feasibility of Intent Obfuscating Attacks. CoRR abs/2408.02674 (2024) - [i27]Harley Wiltzer, Marc G. Bellemare, David Meger, Patrick Shafto, Yash Jhaveri:
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning. CoRR abs/2410.11022 (2024) - 2023
- [j9]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) - [j8]Libby Barak
When Children's Production Deviates From Observed Input: Modeling the Variable Production of the English Past Tense. Cogn. Sci. 47(8) (2023) - [j7]Junqi Wang, Pei Wang, Patrick Shafto:
Efficient Discretization of Optimal Transport. Entropy 25(6): 839 (2023) - [c55]Libby Barak, Nathalie Fernandez Echeverri, Naomi H. Feldman, Patrick Shafto:
Modeling Substitution Errors in Spanish Morphology Learning. CogSci 2023 - [c54]Xiaoran Hao, Patrick Shafto:
Coupled Variational Autoencoder. ICML 2023: 12546-12555 - [c53]Xiaoran Hao, Yash Jhaveri, Patrick Shafto:
Common Ground in Cooperative Communication. NeurIPS 2023 - [c52]Junqi Wang, Pei Wang, Patrick Shafto:
Generalized Belief Transport. NeurIPS 2023 - [i26]Xiaoran Hao, Patrick Shafto:
Coupled Variational Autoencoder. CoRR abs/2306.02565 (2023) - 2022
- [c51]Igor Bascandziev, Michael LaSorsa, Patrick Shafto, Elizabeth Bonawitz:
Can children recognize pedagogical intent in the prosody of speech? CogSci 2022 - [c50]Wei-Ting Chiu, Pei Wang, Patrick Shafto:
Discrete Probabilistic Inverse Optimal Transport. ICML 2022: 3925-3946 - [c49]Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto:
A Psychological Theory of Explainability. ICML 2022: 25007-25021 - [i25]Chi-Ken Lu, Patrick Shafto:
On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel. CoRR abs/2203.07411 (2022) - [i24]Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto:
A psychological theory of explainability. CoRR abs/2205.08452 (2022) - [i23]Pushpi Paranamana, Pei Wang, Patrick Shafto:
Evolution of beliefs in social networks. CoRR abs/2205.13587 (2022) - 2021
- [j6]Chi-Ken Lu
Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning. Entropy 23(11): 1387 (2021) - [j5]Chi-Ken Lu
Conditional Deep Gaussian Processes: Multi-Fidelity Kernel Learning. Entropy 23(11): 1545 (2021) - [c48]Igor Bascandziev, Patrick Shafto, Elizabeth Bonawitz:
The Sound of Pedagogical Questions. CogSci 2021 - [c47]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 - [c46]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 - [c45]Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto:
Interactive Learning from Activity Description. ICML 2021: 8096-8108 - [i22]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 abs/2102.03919 (2021) - [i21]Khanh Nguyen, Dipendra Misra, Robert E. Schapire, Miroslav Dudík, Patrick Shafto:
Interactive Learning from Activity Description. CoRR abs/2102.07024 (2021) - [i20]Arash Givchi, Pei Wang, Junqi Wang, Patrick Shafto:
Distributionally-Constrained Policy Optimization via Unbalanced Optimal Transport. CoRR abs/2102.07889 (2021) - [i19]Junqi Wang, Pei Wang, Patrick Shafto:
Efficient Discretizations of Optimal Transport. CoRR abs/2102.07956 (2021) - [i18]Scott Cheng-Hsin Yang, Tomas Folke, Patrick Shafto:
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence. CoRR abs/2105.07508 (2021) - [i17]Tomas Folke, Scott Cheng-Hsin Yang, Sean Anderson, Patrick Shafto:
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching. CoRR abs/2106.04684 (2021) - [i16]Tomas Folke, Zhaobin Li, Ravi B. Sojitra, Scott Cheng-Hsin Yang, Patrick Shafto:
Explainable AI for Natural Adversarial Images. CoRR abs/2106.09106 (2021) - [i15]Chi-Ken Lu, Patrick Shafto:
Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning. CoRR abs/2110.00568 (2021) - [i14]Wei-Ting Chiu, Pei Wang, Patrick Shafto:
Probabilistic Inverse Optimal Transport. CoRR abs/2112.09754 (2021) - 2020
- [j4]Elizabeth Bonawitz, Patrick Shafto, Yue Yu
Children Change Their Answers in Response to Neutral Follow-Up Questions by a Knowledgeable Asker. Cogn. Sci. 44(1) (2020) - [c44]Chi-Ken Lu
Interpretable Deep Gaussian Processes with Moments. AISTATS 2020: 613-623 - [c43]Libby Barak, Scott Cheng-Hsin Yang, Chirag Rank, Patrick Shafto:
Replicating L2 learning in a Computational Model. CogSci 2020 - [c42]Igor Bascandziev, Patrick Shafto, Elizabeth Bonawitz:
Prosodic Features Carry Information About a Question's Intent. CogSci 2020 - [c41]Junqi Wang, Pei Wang, Patrick Shafto:
Sequential Cooperative Bayesian Inference. ICML 2020: 10039-10049 - [c40]Pei Wang, Junqi Wang, Pushpi Paranamana, Patrick Shafto:
A mathematical theory of cooperative communication. NeurIPS 2020 - [i13]Chi-Ken Lu, Patrick Shafto:
Multi-source Deep Gaussian Process Kernel Learning. CoRR abs/2002.02826 (2020) - [i12]Junqi Wang, Pei Wang, Patrick Shafto:
Sequential Cooperative Bayesian Inference. CoRR abs/2002.05706 (2020)
2010 – 2019
- 2019
- [j3]Scott Cheng-Hsin Yang, Wai Keen Vong, Yue Yu
A Unifying Computational Framework for Teaching and Active Learning. Top. Cogn. Sci. 11(2): 316-337 (2019) - [c39]Pei Wang, Pushpi Paranamana, Patrick Shafto:
Generalizing the theory of cooperative inference. AISTATS 2019: 1841-1850 - [c38]Emily N. Daubert, Patrick Shafto:
Cognitive Science Society Workshop: Guided Playful Learning. CogSci 2019: 3-4 - [c37]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: 25-26 - [c36]Anishka Jean, Emily N. Daubert, Yue Yu, Patrick Shafto, Elizabeth Bonawitz:
Pedagogical Questions Empower Exploration. CogSci 2019: 485-491 - [c35]Wenlong Sun
Debiasing the Human-Recommender System Feedback Loop in Collaborative Filtering. WWW (Companion Volume) 2019: 645-651 - [i11]Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto:
Interpretable deep Gaussian processes. CoRR abs/1905.10963 (2019) - [i10]Pei Wang, Junqi Wang, Pushpi Paranamana, Patrick Shafto:
A mathematical theory of cooperative communication. CoRR abs/1910.02822 (2019) - [i9]Pei Wang, Arash Givchi, Patrick Shafto:
Manifold learning from a teacher's demonstrations. CoRR abs/1910.04615 (2019) - 2018
- [c34]Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto:
Optimal Cooperative Inference. AISTATS 2018: 376-385 - [c33]Ilona Bass, Patrick Shafto, Elizabeth Bonawitz:
That'll Teach 'em: How Expectations about Teaching Styles may Constrain Inferences. CogSci 2018 - [c32]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 - [c31]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 - [c30]Wai Keen Vong, Ravi B. Sojitra, Anderson Reyes, Scott Cheng-Hsin Yang, Patrick Shafto:
Bayesian Teaching of Image Categories. CogSci 2018 - [c29]Wenlong Sun, Olfa Nasraoui, Patrick Shafto:
Iterated Algorithmic Bias in the Interactive Machine Learning Process of Information Filtering. KDIR 2018: 108-116 - [c28]Mahsa Badami, Olfa Nasraoui, Patrick Shafto:
PrCP: Pre-recommendation Counter-Polarization. KDIR 2018: 280-287 - [i8]Chi-Ken Lu, Scott Cheng-Hsin Yang, Patrick Shafto:
Standing Wave Decomposition Gaussian Process. CoRR abs/1803.03666 (2018) - [i7]Pei Wang, Pushpi Paranamana, Patrick Shafto:
Generalizing the theory of cooperative inference. CoRR abs/1810.02423 (2018) - 2017
- [c27]Mahsa Badami, Olfa Nasraoui
Detecting polarization in ratings: An automated pipeline and a preliminary quantification on several benchmark data sets. IEEE BigData 2017: 2682-2690 - [c26]Lewis Baker, Vanessa Lobue, Elizabeth Bonawitz, Patrick Shafto:
Towards Automated Classification of Emotional Facial Expressions. CogSci 2017 - [c25]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 - [c24]Scott Cheng-Hsin Yang, Patrick Shafto:
Teaching Versus Active Learning: A Computational Analysis of Conditions that Affect Learning. CogSci 2017 - [c23]Scott Cheng-Hsin Yang, Jake Alden Whritner, Olfa Nasraoui, Patrick Shafto:
Unifying recommendation and active learning for human-algorithm interactions. CogSci 2017 - [c22]Yue Yu, Elizabeth Bonawitz, Patrick Shafto:
Inconvenient samples: Modeling the effects of non-consent by coupling observational and experimental results. CogSci 2017 - [i6]Scott Cheng-Hsin Yang, Yue Yu, Arash Givchi, Pei Wang, Wai Keen Vong, Patrick Shafto:
Optimal Cooperative Inference. CoRR abs/1705.08971 (2017) - 2016
- [j2]Anna N. Rafferty
Faster Teaching via POMDP Planning. Cogn. Sci. 40(6): 1290-1332 (2016) - [j1]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: 138:1-138:49 (2016) - [c21]Yue Yu, Elizabeth Bonawitz, Patrick Shafto:
Questions in informal teaching: A study of mother-child conversations. CogSci 2016 - [c20]Patrick Shafto, Olfa Nasraoui
Human-Recommender Systems: From Benchmark Data to Benchmark Cognitive Models. RecSys 2016: 127-130 - [i5]Baxter S. Eaves Jr., Patrick Shafto:
Toward a general, scaleable framework for Bayesian teaching with applications to topic models. CoRR abs/1605.07999 (2016) - [i4]Baxter S. Eaves Jr., Naomi H. Feldman, Thomas L. Griffiths, Patrick Shafto:
Infant directed speech is consistent with teaching. CoRR abs/1606.01175 (2016) - [i3]Olfa Nasraoui, Patrick Shafto:
Human-Algorithm Interaction Biases in the Big Data Cycle: A Markov Chain Iterated Learning Framework. CoRR abs/1608.07895 (2016) - 2015
- [c19]Kelley Durkin, Leyla Roksan Caglar, Elizabeth Baraff Bonawitz, Patrick Shafto:
Explaining Choice Behavior: The Intentional Selection Assumption. CogSci 2015 - [c18]Asheley Landrum, Joshua Cloudy, Patrick Shafto:
More than true: Developmental changes in use of the inductive strength for selective trust. CogSci 2015 - [c17]Nicholaus S. Noles, Judith Danovitch, Patrick Shafto:
Children's Trust in Technological and Human Informants. CogSci 2015 - [c16]Judith Danovitch, Nicholaus S. Noles, Patrick Shafto:
How Children Seek Out Information from Technological and Human Informants. EAPCogSci 2015 - [i2]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. CoRR abs/1512.01272 (2015) - [i1]Vikash Mansinghka, Richard Tibbetts, Jay Baxter, Patrick Shafto, Baxter Eaves:
BayesDB: A probabilistic programming system for querying the probable implications of data. CoRR abs/1512.05006 (2015) - 2014
- [c15]Baxter Eaves, Patrick Shafto:
Order effects in learning relational structures. CogSci 2014 - [c14]Hyowon Gweon, Patrick Shafto, Laura Schulz:
Children consider prior knowledge and the cost of information both in learning from and teaching others. CogSci 2014 - [c13]Marjorie Rhodes, Elizabeth Baraff Bonawitz, Patrick Shafto, Annie Chen:
Controlling the message: Preschoolers' use of evidence to teach and deceive others. CogSci 2014 - [c12]Nicholas Searcy, Patrick Shafto:
Biases for learning from teaching. CogSci 2014 - 2012
- [c11]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 - [c10]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 - [c9]Patrick Shafto, Hyowon Gweon, Chris Fargen, Laura Schulz:
Enough is enough: Inductive sufficiency guides learners' ratings of informant helpfulness. CogSci 2012 - 2011
- [c8]Anna N. Rafferty, Emma Brunskill, Thomas L. Griffiths, Patrick Shafto:
Faster Teaching by POMDP Planning. AIED 2011: 280-287 - [c7]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 - [c6]Neil Smith, Patrick Shafto:
The Role of Cross-cutting Systems of Categories in Category-based Induction. CogSci 2011 - [c5]Russell Warner, Todd Stoess, Patrick Shafto:
Reasoning in teaching and misleading situations. CogSci 2011 - [c4]Dazhuo Li, Patrick Shafto:
Bayesian Hierarchical Cross-Clustering. AISTATS 2011: 443-451 - 2010
- [c3]Dazhuo Li, Eric C. Rouchka, Patrick Shafto:
Phylogenomic Analysis Using Bayesian Congruence Measuring. BICoB 2010: 30-37
2000 – 2009
- 2008
- [c2]Patrick Shafto, Noah D. Goodman:
A Bayesian Model of Pedagogical Reasoning. AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence 2008: 101-102 - 2006
- [c1]Charles Kemp, Patrick Shafto, Allison Berke, Joshua B. Tenenbaum:
Combining causal and similarity-based reasoning. NIPS 2006: 681-688
Coauthor Index
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last updated on 2024-11-22 19:45 CET by the dblp team
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