Efficiently Vectorized MCMC on Modern Accelerators Permalink
Dance, H., Glaser, P, Orbanz, P and Adams, R. (2025). " Efficiently Vectorized MCMC on Modern Accelerators. " International Conference on Machine Learning. PMLR, 2025
Education
- PhD in Machine Learning, Gatsby Unit, UCL, 2027 (expected)
- MSc in Computational Statistics and Machine Learning, UCL, 2021 (Distinction, Dean’s List)
- MSc in Economics, UCL, 2016 (Distinction)
- BA. in Economics and International Relations, University of Birmingham, 2015 (First Class Honours)
- GDip in Mathematics and Statistics, Birkbeck 2022 (Distinction)
Work experience
- December 2021-May 2022
- PwC, London
- Econometrician (Senior Associate)
- August 2016-July 2020
- PwC, London
- Econometrician (Associate - Senior Associate)
- July 2015-August 2015
- KPMG, Helsinki
- Strategy Group Intern
- June 2015 - July 2015
- Grant Thornton, London
- Corporate Finance Intern
- June 2014 - July 2014
- Grant Thornton, London
- Corporate Finance Intern
Publications
Distinguishing Cause and Effect with Causal Velocity Models Permalink
Xi,J., Dance, H., Orbanz, P. and Bloem-Reddy,B. (2025). " Distinguishing Cause and Effect with Causal Velocity Models. " International Conference on Machine Learning. PMLR, 2025
Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes Permalink
Dance, H., Orbanz, P. and Gretton, A. (2024). " Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes." arXiv:2410.14483
Causal Inference with Cocycles Permalink
Dance, H. and Bloem-Reddy, B. (2024). " Causal Inference with Cocycles." arXiv:2405.13844
Fast and Scalable Spike and Slab Variable Selection in High Dimensional Gaussian Processes Permalink
Dance, H. and Paige, B. (2022). " Fast and scalable spike and slab variable selection in high-dimensional Gaussian processes. " International Conference on Artificial Intelligence and Statistics. PMLR, 2022
Talks
Efficiently Vectorized MCMC on Modern Accelerators
Talk at Pre-ICML event, University College London, London, United Kingdom
Efficiently Vectorized MCMC on Modern Accelerators
Talk at ProbAI Hub Seminar, United Kingdom
Causal Inference with Cocycles
Talk at Amazon Research, Online
Causal Inference with Cocycles
Talk at 3rd Munich Center for Machine Learning Workshop on Causal Machine Learning, Ludwig Maximilian University of Munich, Munich, Germany
Causal Inference with Cocycles
Talk at University of Columbia, Zuckerman Institute, New York, USA
Fast and Scalable Spike and Slab Variational Inference in High Dimensional Gaussian processes
Talk at AISTATS Conference 2022, Held online due to COVID