Nicholas Teh
Nicholas Teh
Wolfson Building, Parks Road, Oxford OX1 3QD
Biography
I am a third-year PhD student in Computer Science at the University of Oxford, supervised by Edith Elkind. My research interests lie in computational social choice, specifically in fair resource allocation and multiwinner voting.
Selected Publications
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Weighted Envy−Freeness for Submodular Valuations
Luisa Montanari‚ Ulrike Schmidt−Kraepelin‚ Warut Suksompong and Nicholas Teh
In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 9. Pages 9865−9873. March, 2024.
Details about Weighted Envy−Freeness for Submodular Valuations | BibTeX data for Weighted Envy−Freeness for Submodular Valuations | DOI (10.1609/aaai.v38i9.28847) | Link to Weighted Envy−Freeness for Submodular Valuations
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Temporal Fairness in Multiwinner Voting
Edith Elkind‚ Svetlana Obraztsova and Nicholas Teh
In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 20. Pages 22633−22640. March, 2024.
Details about Temporal Fairness in Multiwinner Voting | BibTeX data for Temporal Fairness in Multiwinner Voting | DOI (10.1609/aaai.v38i20.30273) | Link to Temporal Fairness in Multiwinner Voting
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Welfare Maximization in Perpetual Voting (Student Abstract)
Tzeh Yuan Neoh and Nicholas Teh
In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 21. Pages 23597−23599. March, 2024.
Details about Welfare Maximization in Perpetual Voting (Student Abstract) | BibTeX data for Welfare Maximization in Perpetual Voting (Student Abstract) | DOI (10.1609/aaai.v38i21.30488) | Link to Welfare Maximization in Perpetual Voting (Student Abstract)