Scholar
Freddie Bickford Smith
Google Scholar ID: g094Ke8AAAAJ
University of Oxford
Citations & Impact
Citations
357
H-index
5
i10-index
3
Publications
11
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - Rethinking aleatoric and epistemic uncertainty, ICML, 2025
- - Making better use of unlabelled data in Bayesian active learning, AISTATS, 2024
- - Modern Bayesian experimental design, Statistical Science, 2024
- - Prediction-oriented Bayesian active learning, AISTATS, 2023
Research Experience
- - Work Experience: Conducting research at the RainML lab
- - Position: PhD student
Education
- - Degree: PhD
- - University: Oxford
- - Supervisors: Tom Rainforth, Adam Foster
- - Specialization: Machine learning
Background
- - Research Interests: Intelligent data acquisition
- - Field: Machine learning
- - Introduction: His research mainly focuses on how to find good data through Bayesian principles and translate these principles into state-of-the-art practical performance in modern contexts.
