Scholar
Jake C. Snell
Google Scholar ID: MbXKAK8AAAAJ
Associate Research Scholar, Princeton University
Citations & Impact
Citations
13,399
H-index
9
i10-index
9
Publications
20
Co-authors
33
list available
Publications
Resume (English only)
Academic Achievements
- 1. ICML 2025 Outstanding Paper Award for 'Conformal Prediction as Bayesian Quadrature.' 2. One paper accepted at ICML 2025. 3. Our Nature Human Behaviour paper is now available. 4. One paper accepted at TMLR 2024. 5. Two papers accepted at ICLR 2024. 6. Two papers accepted at NeurIPS 2023. 7. Invited talk at Stanford University in the Department of Statistics 2024.
Research Experience
- Currently an Associate Research Scholar in the Department of Computer Science at Princeton University, working with Tom Griffiths.
Education
- Ph.D. in Computer Science from the University of Toronto, advised by Richard Zemel; B.S. in Biomedical Engineering from Yale University.
Background
- Research Interests: Building trustworthy deep learning algorithms through the perspective of probabilistic modeling. Current research interests include: 1. Robustness: Designing learning algorithms that are robust to new environments and changes over time, with a particular focus on meta-learning and Bayesian filtering. 2. Reliability: Quantifying the reliability of black box models, with an emphasis on distribution-free and nonparametric methods. 3. Transparency: Developing Bayesian inference algorithms to better understand representations and behavior of AI models.
