š Our paper "Efficient Adaptive Data Acquisition via Pretrained Belief Representations" has been accepted by NeurIPS 2026!
About Me
Hey, I am Zhuoyue! Iām a DPhil student in the EPSRC CDT in Statistics and Machine Learning (StatML) at the University of Oxford, where Iām advised by Tom Rainforth. My work focuses on probabilistic machine learning, with current projects on active learning and Bayesian experimental design.
Interests
- Bayesian Machine Learning
- Active Learning
- Uncertainty Quantification
Education
DPhil StatML CDT
University of Oxford
MASt Mathematical Statistics (Part III)
University of Cambridge
BSc Mathematics
Imperial College London
Publications
(2026).
Efficient Adaptive Data Acquisition via Pretrained Belief Representations.
In NeurIPS 2026.
(2026).
Loss-Driven Bayesian Active Learning.
In AISTATS 2026.
(2025).
SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings.
In ICLR 2025.
(2023).
Signature Inversion via Orthogonal Polynomials.
BSc Thesis.