| 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 | 307 | 2021 |
| 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 | 188 | 2016 |
| 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 | 88 | 2018 |
| Machine unlearning via algorithmic stability E Ullah, T Mai, A Rao, RA Rossi, R Arora Conference on Learning Theory, 4126-4142, 2021 | 87 | 2021 |
| 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 | 43 | 2020 |
| Coresets for classification–simplified and strengthened T Mai, C Musco, A Rao Advances in Neural Information Processing Systems 34, 11643-11654, 2021 | 33 | 2021 |
| Finding stable matchings that are robust to errors in the input T Mai, VV Vazirani 26th Annual European Symposium on Algorithms, 2018 | 28 | 2018 |
| Fundamental tradeoffs in distributionally adversarial training M Mehrabi, A Javanmard, RA Rossi, A Rao, T Mai International Conference on Machine Learning, 7544-7554, 2021 | 23 | 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 | 19 | 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 | 17 | 2022 |
| 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 | 12 | 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 | 9 | 2019 |
| 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 | 9 | 2016 |
| Interactive audience expansion on large scale online visitor data GYY Chan, T Mai, AB Rao, RA Rossi, F Du, CT Silva, J Freire Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 6 | 2021 |
| A natural generalization of stable matching solved via new insights into ideal cuts T Mai, VV Vazirani arXiv preprint arXiv:1802.06621, 2018 | 6 | 2018 |
| Optimal sketching bounds for sparse linear regression T Mai, A Munteanu, C Musco, A Rao, C Schwiegelshohn, D Woodruff International Conference on Artificial Intelligence and Statistics, 11288-11316, 2023 | 5 | 2023 |
| Sample constrained treatment effect estimation R Addanki, D Arbour, T Mai, C Musco, A Rao Advances in Neural Information Processing Systems 35, 5417-5430, 2022 | 5 | 2022 |
| 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 | 5 | 2021 |
| Brief announcement: Dynamic vector bin packing for online resource allocation in the cloud A Murhekar, D Arbour, T Mai, AB Rao Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and …, 2023 | 4 | 2023 |
| One-pass algorithms for map inference of nonsymmetric determinantal point processes A Reddy, RA Rossi, Z Song, A Rao, T Mai, N Lipka, G Wu, E Koh, ... International Conference on Machine Learning, 18463-18482, 2022 | 4 | 2022 |
