This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of British Columbia directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG.
Proceedings of machine learning research · 2025 · senior author
Latest funding
- $450,000
Advanced Machine Learning Training Network (AML-TN)
NSERC · 2023 · Co-investigator
- $150,000
UBC ML Computational Cluster
NSERC · 2021 · Co-investigator
- $355,556
Data Science and Composite Materials Manufacturing
NSERC · 2019 · Co-investigator
1 publications.
Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG.
Chen N, Huggins JH, Campbell T
Advanced Machine Learning Training Network (AML-TN)
Principal investigators: Wood, Frank FD
Keywords: artificial intelligence; computer vision; differential privacy; human-centered ai; inference; kernel methods; machine learning; natural language processing; optimization; probabilistic programming
UBC ML Computational Cluster
Principal investigators: Wood, Frank
Data Science and Composite Materials Manufacturing
Principal investigators: Ng, Raymond
Bayesian Modeling and Scalable Inference for Big Data Streams
Principal investigators: Campbell, Trevor
Bayesian Modeling and Scalable Inference for Big Data Streams
Principal investigators: Campbell, Trevor
Keywords: probabilistic machine learning; computational statistics; bayesian nonparametrics; large-scale data; streaming data
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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