Organisation profile
Organisation profile
This group works in several areas of theoretical machine learning, including conformal prediction, kernel methods, prediction with expert advice, reinforcement learning. It is also involved in industrial applications of machine learning, including medicine and finance.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 16 Peace, Justice and Strong Institutions
Collaborations and top research areas from the last five years
Profiles
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Alex Gammerman
- Department of Computer Science - Professor of Computer Science
- Centre for Machine Learning
- Centre for Reliable Machine Learning
Person: Staff - Academic staff, Academic
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Yuri Kalnishkan
- Centre for Machine Learning
- Department of Computer Science - Reader in Computer Science
- Centre for Intelligent Systems
- Centre for Reliable Machine Learning
Person: Staff - Academic staff, Academic
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Zhiyuan Luo
- Centre for Machine Learning
- Department of Computer Science - Professor
- Centre for Reliable Machine Learning
Person: Staff - Academic staff, Academic
Research output
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Conditionality principle under unconstrained randomness
Vovk, V., Feb 2026, In: Statistical Science. 41, 1, p. 218-221 4 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Conformal Compressors
Riquelme-Granada, N., Nguyen, K. A. & Luo, Z., Apr 2026, In: Pattern Recognition. 172, 112515.Research output: Contribution to journal › Article › peer-review
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Dynamic Rail Schedule Delay Forecasting: A Case Study with Network Rail
Feng, S., Nguyen, K. A. & Luo, Z., 17 Mar 2026.Research output: Contribution to conference › Poster › peer-review
File
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PhD industry scholarship on Machine Learning for Smart Transport
Nguyen, K. A. (PI) & Luo, Z. (CoI)
1/09/25 → 1/09/28
Project: Research
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DataSim: A Machine Learning-powered simulation tool for rail timetable optimisation
Nguyen, K. A. (PI) & Luo, Z. (CoI)
2/10/23 → 1/10/24
Project: Research
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Statistical Learning and Data Sciences (SLDS)
Cherubin, G. (Speaker)
2015Activity: Participating in or organising an event › Participation in a conference
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The Computer Journal (Journal)
Murtagh, F. (Editor)
1 Jun 2012 → …Activity: Publication peer-review and editorial work › Editor of research journal
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The Computer Journal (Journal)
Murtagh, F. (Editor)
2012 → …Activity: Publication peer-review and editorial work › Editor of research journal