A Formal Theory of Optimal Learning with Experimental Results
Abstract
Here I summarise some results from my thesis which are relevant to artificial intelligence (AI) and machine learning (ML). The key contribution is a theory of optimally sample and energy efficient learning, which is supported by mathematical proofs and experimental results.
Cite
Text
Bennett. "A Formal Theory of Optimal Learning with Experimental Results." International Joint Conference on Artificial Intelligence, 2025. doi:10.24963/IJCAI.2025/1238Markdown
[Bennett. "A Formal Theory of Optimal Learning with Experimental Results." International Joint Conference on Artificial Intelligence, 2025.](https://mlanthology.org/ijcai/2025/bennett2025ijcai-formal/) doi:10.24963/IJCAI.2025/1238BibTeX
@inproceedings{bennett2025ijcai-formal,
title = {{A Formal Theory of Optimal Learning with Experimental Results}},
author = {Bennett, Michael Timothy},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2025},
pages = {10967-10968},
doi = {10.24963/IJCAI.2025/1238},
url = {https://mlanthology.org/ijcai/2025/bennett2025ijcai-formal/}
}