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Peter Hayes
Peter Hayes
University College London
Verified email at ucl.ac.uk
Title
Cited by
Cited by
Year
Spread divergence
M Zhang, P Hayes, T Bird, R Habib, D Barber
International Conference on Machine Learning, 11106-11116, 2020
252020
Generalization gap in amortized inference
M Zhang, P Hayes, D Barber
Advances in neural information processing systems 35, 26777-26790, 2022
112022
Towards healing the blindness of score matching
M Zhang, O Key, P Hayes, D Barber, B Paige, FX Briol
arXiv preprint arXiv:2209.07396, 2022
102022
Sample efficient model evaluation
E Yilmaz, P Hayes, R Habib, J Burgess, D Barber
arXiv preprint arXiv:2109.12043, 2021
22021
Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-tuning
M Zhang, S Lan, P Hayes, D Barber
arXiv preprint arXiv:2402.12177, 2024
12024
Neural network models for influenza forecasting with associated uncertainty using Web search activity trends
M Morris, P Hayes, IJ Cox, V Lampos
PLoS Computational Biology 19 (8), e1011392, 2023
12023
Integrated weak learning
P Hayes, M Zhang, R Habib, J Burgess, E Yilmaz, D Barber
arXiv preprint arXiv:2206.09496, 2022
12022
Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity
M Morris, P Hayes, IJ Cox, V Lampos
arXiv preprint arXiv:2105.12433, 2021
12021
Active Preference Learning for Large Language Models
W Muldrew, P Hayes, M Zhang, D Barber
arXiv preprint arXiv:2402.08114, 2024
2024
Solipsistic Reinforcement Learning
M Zhang, P Hayes, TZ Xiao, A Zhang, D Barber
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