| Convex program duality, Fisher markets, and Nash social welfare R Cole, NR Devanur, V Gkatzelis, K Jain, T Mai, VV Vazirani, ... Proceedings of the 2017 ACM Conference on Economics and Computation, 459-460, 2016 | 149 | 2016 |
| Graph neural networks with heterophily J Zhu, RA Rossi, A Rao, T Mai, N Lipka, NK Ahmed, D Koutra Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 11168 …, 2021 | 105 | 2021 |
| Nash social welfare for indivisible items under separable, piecewise-linear concave utilities N Anari, T Mai, SO Gharan, VV Vazirani Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018 | 73 | 2018 |
| Approximate Maximum Matching in Random Streams A Farhadi, MT Hajiaghayi, T Mai, A Rao, RA Rossi Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020 | 30 | 2020 |
| Finding stable matchings that are robust to errors in the input T Mai, VV Vazirani 26th Annual European Symposium on Algorithms, 2018 | 20 | 2018 |
| Machine unlearning via algorithmic stability E Ullah, T Mai, A Rao, RA Rossi, R Arora Conference on Learning Theory, 4126-4142, 2021 | 16 | 2021 |
| Cycles in zero-sum differential games and biological diversity T Mai, M Mihail, I Panageas, W Ratcliff, V Vazirani, P Yunker Proceedings of the 2018 ACM Conference on Economics and Computation, 339-350, 2018 | 15 | 2018 |
| Coresets for classification–simplified and strengthened T Mai, C Musco, A Rao Advances in Neural Information Processing Systems 34, 11643-11654, 2021 | 13 | 2021 |
| Fundamental tradeoffs in distributionally adversarial training M Mehrabi, A Javanmard, RA Rossi, A Rao, T Mai International Conference on Machine Learning, 7544-7554, 2021 | 12 | 2021 |
| Opinion dynamics in networks: Convergence, stability and lack of explosion T Mai, I Panageas, VV Vazirani 44th International Colloquium on Automata, Languages, and Programming, 2016 | 8 | 2016 |
| Stability-preserving, time-efficient mechanisms for school choice in two rounds K Gajulapalli, J Liu, T Mai, VV Vazirani arXiv preprint arXiv:1904.04431, 2019 | 6* | 2019 |
| On Densification for Minwise Hashing T Mai, A Rao, M Kapilevich, R Rossi, Y Abbasi-Yadkori, R Sinha The Conference on Uncertainty in Artificial Intelligence (UAI), 2019 | 6 | 2019 |
| A natural generalization of stable matching solved via new insights into ideal cuts T Mai, VV Vazirani arXiv preprint arXiv:1802.06621, 2018 | 5 | 2018 |
| Conditional Generative Model based Predicate-Aware Query Approximation N Sheoran, S Mitra, V Porwal, S Ghetia, J Varshney, T Mai, A Rao, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8259-8266, 2022 | 4 | 2022 |
| A generalization of Birkhoff’s theorem for distributive lattices, with applications to robust stable matchings T Mai, VV Vazirani arXiv preprint arXiv:1804.05537, 2018 | 4 | 2018 |
| A Performance-Based Scheme for Pricing Resources in the Cloud K Jain, T Mai, VV Vazirani Web and Internet Economics: 13th International Conference, WINE 2017 …, 2017 | 4 | 2017 |
| Asymptotics of ridge regression in convolutional models M Sahraee-Ardakan, T Mai, A Rao, RA Rossi, S Rangan, AK Fletcher International Conference on Machine Learning, 9265-9275, 2021 | 3 | 2021 |
| Fast and Accurate Estimation of Typed Graphlets RA Rossi, A Rao, T Mai, NK Ahmed Proceedings of The Web Conference (WWW), 2020 | 3 | 2020 |
| Rock-paper-scissors, differential games and biological diversity T Mai, I Panageas, W Ratcliff, VV Vazirani, P Yunker arXiv preprint arXiv:1710.11249, 2017 | 3 | 2017 |
| Stable matchings, robust solutions and distributive lattices T Mai, VV Vazirani Technical Report 1804.05537, Computing Research Repository, Cornell …, 2018 | 2 | 2018 |
