Proceedings of The 34th International Conference on Algorithmic Learning Theory, PMLR 201:1-2, 2023.
Abstract
Presentation of this volume
Cite this Paper
BibTeX
@InProceedings{pmlr-v201-agrawal23a,
title = {Algorithmic Learning Theory 2023: Preface},
author = {Agrawal, Shipra and Orabona, Francesco},
booktitle = {Proceedings of The 34th International Conference on Algorithmic Learning Theory},
pages = {1--2},
year = {2023},
editor = {Agrawal, Shipra and Orabona, Francesco},
volume = {201},
series = {Proceedings of Machine Learning Research},
month = {20 Feb--23 Feb},
publisher = {PMLR},
pdf = {https://proceedings.mlr.press/v201/agrawal23a/agrawal23a.pdf},
url = {https://proceedings.mlr.press/v201/agrawal23a.html},
abstract = {Presentation of this volume}
}
Endnote
%0 Conference Paper
%T Algorithmic Learning Theory 2023: Preface
%A Shipra Agrawal
%A Francesco Orabona
%B Proceedings of The 34th International Conference on Algorithmic Learning Theory
%C Proceedings of Machine Learning Research
%D 2023
%E Shipra Agrawal
%E Francesco Orabona
%F pmlr-v201-agrawal23a
%I PMLR
%P 1--2
%U https://proceedings.mlr.press/v201/agrawal23a.html
%V 201
%X Presentation of this volume
APA
Agrawal, S. & Orabona, F.. (2023). Algorithmic Learning Theory 2023: Preface. Proceedings of The 34th International Conference on Algorithmic Learning Theory, in Proceedings of Machine Learning Research 201:1-2 Available from https://proceedings.mlr.press/v201/agrawal23a.html.