Xizhi Tan

According to our database, Xizhi Tan authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

Approximating Gains-from-Trade in Matching Markets.

Moshe Babaioff, Aviad Rubinstein, Xizhi Tan, Kangning Wang

Proceedings of the 58th Annual ACM Symposium on Theory of Computing, 2026

2025

Multi-Platform Autobidding with and without Predictions.

Gagan Aggarwal, Anupam Gupta, Xizhi Tan, Mingfei Zhao

Proceedings of the ACM on Web Conference 2025, 2025

Clock Auctions Augmented with Unreliable Advice.

Vasilis Gkatzelis, Daniel Schoepflin, Xizhi Tan

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

Procurement Auctions with Predictions: Improved Frugality for Facility Location.

Eric Balkanski, Nicholas DeFilippis, Vasilis Gkatzelis, Xizhi Tan

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Extracting Small Subgraphs in Road Networks.

Sara Ahmadian, Sreenivas Gollapudi, Gregory Hutchins, Kostas Kollias, Xizhi Tan

Proceedings of the ACM on Web Conference 2024, 2024

Learning-Augmented Metric Distortion via (p, q)-Veto Core.

Ben Berger, Michal Feldman, Vasilis Gkatzelis, Xizhi Tan

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Online Mechanism Design with Predictions.

Eric Balkanski, Vasilis Gkatzelis, Xizhi Tan, Cherlin Zhu

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division.

Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan, Paritosh Verma

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Mechanism Design with Predictions: An Annotated Reading List.

Eric Balkanski, Vasilis Gkatzelis, Xizhi Tan

SIGecom Exch., 2023

Optimal Metric Distortion with Predictions.

Ben Berger, Michal Feldman, Vasilis Gkatzelis, Xizhi Tan

CoRR, 2023

Strategyproof Scheduling with Predictions.

Eric Balkanski, Vasilis Gkatzelis, Xizhi Tan

Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

EFx Budget-Feasible Allocations with High Nash Welfare.

Marius Garbea, Vasilis Gkatzelis, Xizhi Tan

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

2022

Deterministic Budget-Feasible Clock Auctions.

Eric Balkanski, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin, Xizhi Tan

Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Improved Price of Anarchy via Predictions.

Vasilis Gkatzelis, Kostas Kollias, Alkmini Sgouritsa, Xizhi Tan

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Learning-Augmented Mechanism Design: Leveraging Predictions for Facility Location.

Priyank Agrawal, Eric Balkanski, Vasilis Gkatzelis, Tingting Ou, Xizhi Tan

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

2021

Fair and Efficient Online Allocations with Normalized Valuations.

Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021