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Padhraic Smyth
Chancellor's 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)
News and Updates
Selected Recent Papers
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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
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Combining human predictions with model probabilities via confusion matrices and calibration
with Gavin Kerrigan and Mark Steyvers, Advances in Neural Information Processing Systems 34 (NeurIPS), 2021
- Active Bayesian assessment of black-box classifiers
with Disi Ji, Robby Logan, and Mark Steyvers, 35th AAAI Conference on Artificial Intelligence (AAAI), 2021
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Can I trust my fairness metric? Assessing fairness with unlabeled data and Bayesian inference
with Disi Ji and Mark Steyvers, Advances in Neural Information Processing Systems 33 (NeurIPS), 2020
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User-dependent neural sequence models for continuous-time event data
with Alex Boyd, Rob Bamler, Stephan Mandt, Advances in Neural Information Processing Systems 33 (NeurIPS), 2020
- Dropout as a structured shrinkage prior
with Eric Nalisnick and Jose Miguel Hernandez-Lobato, International Conference on Machine Learning (ICML), 2019
Teaching