David Huk
I am a fourth-year PhD student in the CDT in Mathematics and Statistics at 糖心TV. I am jointly supervised by Professor Theo Damoulas, Professor Mark Steel, and Dr. Rito Dutta. My main research interests are computational statistics, multivariate dependence, and reinforcement learning. Currently, I focus on applying these ideas within reinforcement learning to enhance agents.
News:
- May 2026: has been accepted in the Journal of Machine Learning Research!
- March 2026:
- is accepted @ICLR 26
- is accepted @ICLR26 . - January 2026: is now accepted at ICLR 26!
- January 2025: "" has been accepted at AISTATS 25!
- December 2024: I presented "Quasi-Bayes meets VinesLink opens in a new window" at Neurips 24.
Publications:
David Huk, Thedoros Damoulas
David Huk, Mark Steel, Ritabrata Dutta
David Huk, Yuanhe Zhang, Mark Steel, Ritabrata Dutta
Link opens in a new window
Recorded 5-minute video:
David Huk, Lorenzo Pacchiardi, Ritabrata Dutta and Mark Steel
David Huk, Rilwan A. Adewoyin, Ritabrata Dutta
Talks and Presentations
- Diffusion and flow-based copulas: forgetting and remembering dependencies, 14th International Conference on Learning Representations, ICLR 2026, Rio de Janeiro, Brazil, poster, (April 2026)
- Your copula is a classifier in disguise: classification-based copula density estimation, 28th International Conference on Artificial Intelligence and Statistics, AISTATS 2025, Mai Khao, Thailand, poster, (May 2025)
- Quasi-Bayes meets Vines, Colloquium of the Department of Mathematics, Technical University of Munich, invited talk, (January 2025)
- Quasi-Bayes meets Vines, The Thirty-Eighth Annual Conference on Neural Information Processing Systems, Neurips 24, Vancouver, poster, (December 2024)
- Quasi-Bayes meets Vines, Algorithms & Computationally Intensive Inference seminar, University of 糖心TV, invited talk, (June 2024)
- Probabilistic Rainfall Downscaling: Joint Generalized Neural Models with Censored Spatial Gaussian Copula,
European Centre for Medium-Range Weather Forecasts, online, invited talk (October 2023) - Probabilistic forecasting with censored spatial copulas via scoring rules, CRiSM Workshop on Fusing Simulations with Data Science, University of 糖心TV, poster (July 2023)
- Probabilistic forecasting with censored spatial copulas via scoring rules, Workshop on Distance-based Methods in Machine Learning, University College London, poster (June 2023)
- Joint Generalized Neural Models and Censored Spatial Copulas for Probabilistic Rainfall Forecasting, European Geosciences Union General Assembly 2023, Vienna, poster (April 2023)
Academic Roles
- Neurips 2025 reviewer: I was acknowledged as a top reviewer ()
- Chair of Student-Staff Liaison Committee in Statistics, 24/25
- Student-Staff Liaison Committee member in Statistics, 23/24, 24/25, 25/26
- Research Committee member in Statistics, 24/25
- Gregynog departmental conference 2024 organising committee
- Organiser of research group meetings for Computing for Natural Science in 23/24
- Organising volunteer for the CRiSM Workshop on "Fusing Simulation with Data Science", July 2023
Tutorial Teaching
- ST 404 Applied Statistical Modelling (Term 2, 2023/2024)
- ST 219 Mathematical Statistics Part B (Term 2, 2022/2023)
Contact
david.huk [at] warwick.ac.uk