Nicholas Teh

According to our database, Nicholas Teh authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Envy-Free House Allocation with Minimum Subsidy.

Davin Choo, Yan Hao Ling, Warut Suksompong, Nicholas Teh, Jian Zhang

CoRR, 2024

Welfare Maximization in Perpetual Voting (Student Abstract).

Tzeh Yuan Neoh, Nicholas Teh

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Weighted Envy-Freeness for Submodular Valuations.

Luisa Montanari, Ulrike Schmidt-Kraepelin, Warut Suksompong, Nicholas Teh

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Temporal Fairness in Multiwinner Voting.

Edith Elkind, Svetlana Obraztsova, Nicholas Teh

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Weighted Fair Division with Matroid-Rank Valuations: Monotonicity and Strategyproofness.

Warut Suksompong, Nicholas Teh

CoRR, 2023

Settling the Score: Portioning with Cardinal Preferences.

Edith Elkind, Warut Suksompong, Nicholas Teh

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

For One and All: Individual and Group Fairness in the Allocation of Indivisible Goods.

Jonathan Scarlett, Nicholas Teh, Yair Zick

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

On maximum weighted Nash welfare for binary valuations.

Warut Suksompong, Nicholas Teh

Math. Soc. Sci., 2022

Fairness in Temporal Slot Assignment.

Edith Elkind, Sonja Kraiczy, Nicholas Teh

Proceedings of the Algorithmic Game Theory - 15th International Symposium, 2022

Better Collective Decisions via Uncertainty Reduction.

Shiri Alouf-Heffetz, Laurent Bulteau, Edith Elkind, Nimrod Talmon, Nicholas Teh

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

A Theoretical Framework for Large-Scale Human-Robot Interaction with Groups of Learning Agents.

Nicholas Teh, Shuyue Hu, Harold Soh

Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021