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Xizhi Tan
Xizhi Tan
PhD. Student, Drexel University
Verified email at drexel.edu - Homepage
Title
Cited by
Cited by
Year
Learning-Augmented Mechanism Design: Leveraging Predictions for Facility Location
P Agrawal, E Balkanski, V Gkatzelis, T Ou, X Tan
23rd ACM Conference on Economics and Computation (EC 22), 2022
222022
Strategyproof Scheduling with Predictions
E Balkanski, V Gkatzelis, X Tan
14th Innovations in Theoretical Computer Science Conference (ITCS 23), 2022
162022
Deterministic Budget-Feasible Clock Auctions
E Balkanski, P Garimidi, V Gkatzelis, D Schoepflin, X Tan
33rd Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 22), 2021
142021
Improved Price of Anarchy via Predictions
V Gkatzelis, K Kollias, A Sgouritsa, X Tan
23rd ACM Conference on Economics and Computation (EC 22), 2022
132022
Fair and Efficient Online Allocations with Normalized Valuations
V Gkatzelis, A Psomas, X Tan
35th AAAI Conference on Artificial Intelligence. (AAAI 2021), 2020
122020
Online mechanism design with predictions
E Balkanski, V Gkatzelis, X Tan, C Zhu
arXiv preprint arXiv:2310.02879, 2023
32023
Optimal metric distortion with predictions
B Berger, M Feldman, V Gkatzelis, X Tan
arXiv preprint arXiv:2307.07495, 2023
22023
EFx Budget-Feasible Allocations with High Nash Welfare
M Garbea, V Gkatzelis, X Tan
26th European Conference on Artificial Intelligence (ECAI 2023), 2023
12023
Getting More by Knowing Less: Bayesian Incentive Compatible Mechanisms for Fair Division
V Gkatzelis, A Psomas, X Tan, P Verma
33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2023
2023
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