Padhraic Smyth
Chancellor's Professor
Department of Computer Science
Department of Statistics
School of Information and Computer Sciences
University of California, Irvine
- Director/Principal Investigator, NSF Graduate Traineeship Program (NRT/MAPS)
- Associate Director, Center for Machine Learning and Intelligent Systems
- Affiliate Faculty, UCI Steckler Center for Responsible, Ethical, and Accessible Technology (CREATe)
- Member, Institute for Mathematical Behavioral Sciences at UCI
- Looking forward to participating in exciting new projects as part of the newly-founded CREATe Center at UCI on social aspects of AI and machine learning [Winter 2021]
- Our research group is part of the UCI team publishing daily statistics to increase public awareness about the the latest COVID-19 trends in Southern California - great work by various PhD students in statistics and computer science and Prof Vladimir Minin [Summer/Fall 2020]
- Congrats to recent PhD graduates from our group, Disi Ji (December 2020), Chris Galbraith (June 2020), Jihyun Park (December 2019).
- The AI/ML group at UC Irvine is part of the new HPI Research Center in Machine Learning and Data Science, providing 15 3-year fully-funded PhD fellowships for UCI PhD students conducting basic research in AI and machine learning [Spring 2020]
- Grateful for additional gift funding from Qualcomm to support our group's research, via a Qualcomm faculty award [Spring 2020]
- Our group was awarded two new NSF grants for research on predictive aspects of machine learning classifiers, one on confidence and uncertainty in blackbox predictions and the other on balancing human and machine predictions, both in collaboration with Mark Steyvers' group in Cognitive Science at UCI [Fall 2019]
Selected Recent Papers
- 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 -
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 - Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions
with Jihyun Park et al, Journal of the American Medical Informatics Association, 2019. -
Science and data science (opinion article)
with David Blei, Proceedings of the National Academy of Sciences, 2017
Teaching