Peter Hayes

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Preference Learning

Inference Process

Top Venues

PLoS Comput. Biol.

Publications

Mingtian Zhang, Shawn Lan, Peter Hayes, David Barber
Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning. CoRR (2024)
William Muldrew, Peter Hayes, Mingtian Zhang, David Barber
Active Preference Learning for Large Language Models. CoRR (2024)
Michael Morris, Peter Hayes, Ingemar J. Cox, Vasileios Lampos
Neural network models for influenza forecasting with associated uncertainty using Web search activity trends. PLoS Comput. Biol. 19 (8) (2023)
Mingtian Zhang, Oscar Key, Peter Hayes, David Barber, Brooks Paige, François-Xavier Briol
Towards Healing the Blindness of Score Matching. CoRR (2022)
Mingtian Zhang, Peter Hayes, David Barber
Generalization Gap in Amortized Inference. NeurIPS (2022)
Mingtian Zhang, Peter Hayes, David Barber
Generalization Gap in Amortized Inference. CoRR (2022)
Peter Hayes, Mingtian Zhang, Raza Habib, Jordan Burgess, Emine Yilmaz, David Barber
Integrated Weak Learning. CoRR (2022)
Michael Morris, Peter Hayes, Ingemar J. Cox, Vasileios Lampos
Estimating the Uncertainty of Neural Network Forecasts for Influenza Prevalence Using Web Search Activity. CoRR (2021)
Emine Yilmaz, Peter Hayes, Raza Habib, Jordan Burgess, David Barber
Sample Efficient Model Evaluation. CoRR (2021)
Mingtian Zhang, Peter Hayes, Thomas Bird, Raza Habib, David Barber
Spread Divergence. ICML (2020)