Published in: LIPIcs, Volume 204, 29th Annual European Symposium on Algorithms (ESA 2021)
Thomas Lavastida, Benjamin Moseley, R. Ravi, and Chenyang Xu. Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing. In 29th Annual European Symposium on Algorithms (ESA 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 204, pp. 59:1-59:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
@InProceedings{lavastida_et_al:LIPIcs.ESA.2021.59, author = {Lavastida, Thomas and Moseley, Benjamin and Ravi, R. and Xu, Chenyang}, title = {{Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing}}, booktitle = {29th Annual European Symposium on Algorithms (ESA 2021)}, pages = {59:1--59:17}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-204-4}, ISSN = {1868-8969}, year = {2021}, volume = {204}, editor = {Mutzel, Petra and Pagh, Rasmus and Herman, Grzegorz}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2021.59}, URN = {urn:nbn:de:0030-drops-146405}, doi = {10.4230/LIPIcs.ESA.2021.59}, annote = {Keywords: Learning-augmented algorithms, Online algorithms, Flow allocation} }
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