Published in: LIPIcs, Volume 284, 43rd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2023)
Yan Hong Yao Alvin and Diptarka Chakraborty. Approximate Maximum Rank Aggregation: Beyond the Worst-Case. In 43rd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 284, pp. 12:1-12:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
@InProceedings{alvin_et_al:LIPIcs.FSTTCS.2023.12, author = {Alvin, Yan Hong Yao and Chakraborty, Diptarka}, title = {{Approximate Maximum Rank Aggregation: Beyond the Worst-Case}}, booktitle = {43rd IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2023)}, pages = {12:1--12:21}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-304-1}, ISSN = {1868-8969}, year = {2023}, volume = {284}, editor = {Bouyer, Patricia and Srinivasan, Srikanth}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FSTTCS.2023.12}, URN = {urn:nbn:de:0030-drops-193857}, doi = {10.4230/LIPIcs.FSTTCS.2023.12}, annote = {Keywords: Rank Aggregation, Center Problem, Mallows Model, Approximation Algorithms, Clustering with Outliers} }
Feedback for Dagstuhl Publishing