Rainforth, Tom

Tighter Variational Bounds are Not Necessarily Better

Rainforth, T., Kosiorek, A. R., Le, T. A., Maddison, C. J., Igl, M., Wood, F., & Teh, Y. W. (2018) · arXiv

Gaussian Processes and Bayesian InferenceTopic Modeling

Cited by 66

SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Miao, N., Teh, Y. W., & Rainforth, T. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

Prediction-Oriented Bayesian Active Learning

Smith, F. B., Kirsch, A., Farquhar, S., Gal, Y., Foster, A., & Rainforth, T. (2023) · arXiv

Machine Learning and AlgorithmsGaussian Processes and Bayesian Inference

Cited by 10

In-Context Learning Learns Label Relationships but Is Not Conventional Learning

Kossen, J., Gal, Y., & Rainforth, T. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 5