| Online metric algorithms with untrusted predictions A Antoniadis, C Coester, M Eliáš, A Polak, B Simon ACM Transactions on Algorithms 19 (2), 1-34, 2023 | 108 | 2023 |
| Improved approximation for vector bin packing N Bansal, M Eliáš, A Khan Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete …, 2016 | 56 | 2016 |
| Higher-order Erdős–Szekeres theorems M Eliáš, J Matoušek Advances in Mathematics 244, 1-15, 2013 | 33 | 2013 |
| Nested convex bodies are chaseable N Bansal, M Böhm, M Eliáš, G Koumoutsos, SW Umboh Algorithmica, 1-14, 2019 | 32 | 2019 |
| Differentially Private Release of Synthetic Graphs M Eliáš, M Kapralov, J Kulkarni, YT Lee Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020 | 23 | 2020 |
| Weighted k-server bounds via combinatorial dichotomies N Bansal, M Eliáš, G Koumoutsos 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017 | 19 | 2017 |
| Competitive Algorithms for Generalized k-Server in Uniform Metrics N Bansal, M Eliáš, G Koumoutsos, J Nederlof ACM Transactions on Algorithms 19 (1), 1-15, 2023 | 18* | 2023 |
| The (h, k)-server problem on bounded depth trees N Bansal, M Eliáš, Ł Jeż, G Koumoutsos ACM Transactions on Algorithms (TALG) 15 (2), 1-26, 2019 | 16 | 2019 |
| Differentially private correlation clustering M Bun, M Elias, J Kulkarni International Conference on Machine Learning, 1136-1146, 2021 | 15 | 2021 |
| Tight bounds for double coverage against weak adversaries N Bansal, M Eliáš, Ł Jeż, G Koumoutsos, K Pruhs Theory of Computing Systems 62 (2), 349-365, 2018 | 12 | 2018 |
| Lower bounds on geometric Ramsey functions M Eliás, J Matousek, E Roldán-Pensado, Z Safernová SIAM Journal on Discrete Mathematics 28 (4), 1960-1970, 2014 | 12 | 2014 |
| Learning-augmented dynamic power management with multiple states via new ski rental bounds A Antoniadis, C Coester, M Eliás, A Polak, B Simon Advances in Neural Information Processing Systems 34, 16714-16726, 2021 | 7 | 2021 |
| Paging with succinct predictions A Antoniadis, J Boyar, M Eliás, LM Favrholdt, R Hoeksma, KS Larsen, ... International Conference on Machine Learning, 952-968, 2023 | 2 | 2023 |
| Mixing predictions for online metric algorithms A Antoniadis, C Coester, M Elias, A Polak, B Simon International Conference on Machine Learning, 969-983, 2023 | | 2023 |
Nikhil BansalUniversity of MichiganVerified email at umich.edu
