,
Paul Dütting
,
Robert Kleinberg
,
Renato Paes Leme
,
Neel Patel
Creative Commons Attribution 4.0 International license
We introduce the notion of an online matroid embedding, which is an algorithm for mapping an unknown matroid that is revealed in an online fashion to a larger-but-known matroid. The existence of such embedding enables a reduction from the version of the matroid secretary problem where the matroid is unknown to the version where the matroid is known in advance. We establish the existence of such an embedding for binary matroids, and use it to relate variants of the binary matroid secretary problem to each other, showing that seemingly simpler problems are in fact equivalent to seemingly harder ones (up to constant-factors). Specifically, we show this to be the case for the version of the matroid secretary problem in which the binary matroid is not known in advance, and where it is known in advance. We also show that the version with known matroid structure is equivalent to the problem where weights are not fully adversarial but drawn from a known pairwise-independent distribution.
@InProceedings{cristi_et_al:LIPIcs.ICALP.2026.69,
author = {Cristi, Andr\'{e}s and D\"{u}tting, Paul and Kleinberg, Robert and Paes Leme, Renato and Patel, Neel},
title = {{Online Matroid Embeddings}},
booktitle = {53rd International Colloquium on Automata, Languages, and Programming (ICALP 2026)},
pages = {69:1--69:24},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-428-4},
ISSN = {1868-8969},
year = {2026},
volume = {374},
editor = {Bhattacharya, Sayan and Nanongkai, Danupon and Benedikt, Michael and Puppis, Gabriele},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2026.69},
URN = {urn:nbn:de:0030-drops-264585},
doi = {10.4230/LIPIcs.ICALP.2026.69},
annote = {Keywords: Matroids, Secretary Problem, Online Algorithm}
}