Biography
Neil Lawrence is the inaugural DeepMind Professor of Machine Learning at the University of Cambridge. He has been working on machine learning models for over 20 years. He recently returned to academia after three years as Director of Machine Learning at Amazon. His main interest is the interaction of machine learning with the physical world. This interest was triggered by deploying machine learning in the African context, where ‘end-to-end’ solutions are normally required. This has inspired new research directions at the interface of machine learning and systems research, this work is funded by a Senior AI Fellowship from the Alan Turing Institute. Neil is also visiting Professor at the University of Sheffield and the co-host of Talking Machines.
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Related Publications
Differentially Private Regression and Classification with Sparse Gaussian Processes
Journal of Machine Learning Research, 22(188):1-41
Bottom-up Data Trusts: Disturbing the 'One Size Fits All' Approach to Data Governance
International Data Privacy Law, Oxford Academic 9(4):236-252
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
International Conference on Learning Representations, :
Challenges in Machine Learning Deployment: A Survey of Case Studies
ACM Comput. Surv., Association for Computing Machinery:
Decision-making with Uncertainty
Significance, 17(6):12-12
Gaussian Process Latent Variable Flows for Massively Missing Data
Third Symposium on Advances in Approximate Bayesian Inference, :
Creating a European AI Powerhouse: A Strategic Research Agenda from the European Learning and Intelligent Systems Excellence (ELISE) consortium
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Solving Schrödinger Bridges via Maximum Likelihood
Entropy, 23(9):1134
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis
Journal of Machine Learning Research, 22(8):1-51
The UK Large Language Models Opportunity
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The UK foundation Models Opportunity
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Letter Warning about Simplistic Narratives around AI
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