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Padhraic Smyth

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Chancellor's Professor
Department of Computer Science
Department of Statistics
School of Information and Computer Sciences
University of California, Irvine

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Research Interests: machine learning, artificial intelligence, pattern recognition, statistics

Affiliations (at UCI)

• 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

• 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

• 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