☰
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)
Selected Recent Papers
-
Diffusion generative models in infinite dimensions
with Gavin Kerrigan, Justin Ley,
26th International Conference on AI and Statistics, April 2023
-
Probabilistic querying of continuous-time event sequences
with Alex Boyd, Yuxin Chang, and Stephan Mandt,
26th International Conference on AI and Statistics, April 2023
-
Variable-based calibration for machine learning classifiers
with Markelle Kelly,
37th AAAI Conference on Artificial Intelligence, Feb 2023
-
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
-
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
Teaching