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Padhraic Smyth
Distinguished Professor
Department of Computer Science
Department of Statistics
School of Information and Computer Sciences
University of California, Irvine
Research Interests:
machine learning, artificial intelligence, pattern recognition, statistics
Affiliations (at UCI)
Selected Recent Papers
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Capturing humans mental models of AI: an item response theory approach
with Markelle Kelly, Aakriti Kumar, and Mark Steyvers, ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), June 2023
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Diffusion generative models in infinite dimensions
with Gavin Kerrigan and Justin Ley,
26th International Conference on AI and Statistics, April 2023
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Probabilistic querying of continuous-time event sequences
with Alex Boyd, Yuxin Chang, and Stephan Mandt,
26th International Conference on AI and Statistics, April 2023
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Climate-driven changes in the predictability of seasonal precipitation ]
with P. Le, J. T. Randerson, R. Willett, S. Wright, C. Guilloteau, A. Mamalakis, E. Foufoula-Georgiou,
Nature Communications, 14:3822, 2023
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Variable-based calibration for machine learning classifiers
with Markelle Kelly,
37th AAAI Conference on Artificial Intelligence, Feb 2023
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Predictive querying for autoregressive neural sequence models
with Alex Boyd, Sam Showalter, Stephan Mandt,
Neural Information Processing Systems 35 (NeurIPS 2022)
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Fair generalized linear models with a convex penalty
with Hyungrok Do, Preston Putzel, Axel Martin, and Judy Zhong, International Conference on Machine Learning (ICML), 2022
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Bayesian modeling of human-AI complementarity
with Mark Steyvers, Heliodoro Tejeda, and Gavin Kerrigan, Proceedings of the National Academy of Sciences, 2022
Teaching