Items where Author is "Hollender, Alexandros"
![]() | Up a level |
Deligkas, Argyrios and Fearnley, John and Hollender, Alexandros and Melissourgos, Themistoklis (2024) Pure-Circuit: Tight Inapproximability for PPAD. Journal of the ACM. DOI https://doi.org/10.1145/3678166 (In Press)
Deligkas, Argyrios and Fearnley, John and Hollender, Alexandros and Melissourgos, Themistoklis (2023) Tight Inapproximability for Graphical Games. In: 37th AAAI Conference on Artificial Intelligence, 2023-02-07 - 2023-02-14, Washington DC, USA.
Deligkas, Argyrios and Fearnley, John and Hollender, Alexandros and Melissourgos, Themistoklis (2022) Pure-Circuit: Strong Inapproximability for PPAD. In: FOCS 2022: 63rd IEEE Symposium on Foundations of Computer Science, 2022-10-31 - 2022-11-03, Denver, Colorado.
Deligkas, Argyrios and Fearnley, John and Hollender, Alexandros and Melissourgos, Themistoklis (2022) Pure-Circuit: Strong Inapproximability for PPAD. Working Paper. arXiv. (Unpublished)
Deligkas, Argyrios and Fearnley, John and Hollender, Alexandros and Melissourgos, Themistoklis (2022) Constant Inapproximability for PPA. In: STOC 2022: Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, 2022-06-20 - 2022-06-24, Rome, Italy.
Birmpas, Georgios and Gan, Jiarui and Hollender, Alexandros and Marmolejo-Cossío, Francisco J and Rajgopal, Ninad and Voudouris, Alexandros A (2021) Optimally Deceiving a Learning Leader in Stackelberg Games. Journal of Artificial Intelligence Research, 72. pp. 507-531. DOI https://doi.org/10.1613/jair.1.12542
Amanatidis, Georgios and Birmpas, Georgios and Filos-Ratsikas, Aris and Hollender, Alexandros and Voudouris, Alexandros A (2021) Maximum Nash welfare and other stories about EFX. Theoretical Computer Science, 863. pp. 69-85. DOI https://doi.org/10.1016/j.tcs.2021.02.020
Amanatidis, Georgios and Birmpas, Georgios and Filos-Ratsikas, Aris and Hollender, Alexandros and Voudouris, Alexandros A (2021) Maximum Nash Welfare and Other Stories About EFX. In: 29th International Joint Conference on Artificial Intelligence, IJCAI 2020, 2020-07-11 - 2020-07-17. (In Press)