Padhraic Smyth
Chancellor's Professor
Department of Computer Science
Department of Statistics
School of Information and Computer Sciences
University of California, Irvine
- Associate Director (and Founding Director), Center for Machine Learning and Intelligent Systems
- Co-Director, HPI Research Center in Machine Learning and Data Science at UCI
- Affiliate Faculty, UCI Steckler Center for Responsible, Ethical, and Accessible Technology (CREATe)
Selected Recent Papers
-
Predictive querying for autoregressive neural sequence models
with Alex Boyd, Sam Showalter, Stephan Mandt, Neural Information Processing Systems 35 (NeurIPS 2022) -
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 -
Bayesian modeling of human-AI complementarity
with Mark Steyvers, Heliodoro Tejeda, and Gavin Kerrigan, Proceedings of the National Academy of Sciences, 2022 -
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 -
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 - Dropout as a structured shrinkage prior
with Eric Nalisnick and Jose Miguel Hernandez-Lobato, International Conference on Machine Learning (ICML), 2019
Teaching
- CS 274A, Probabilistic Learning
- CS 175, Project in Artificial Intelligence
- CS 178, Machine Learning and Data Mining (link available to UCI students via Canvas)
- Stats 5, Seminar in Data Science
- Stats 170A/B, Capstone Project in Data Science