| An improved harmony search algorithm for solving optimization problems M Mahdavi, M Fesanghary, E Damangir Applied Mathematics and Computation 188 (2), 1567-1579, 2007 | 2499 | 2007 |
| Global-best harmony search MGH Omran, M Mahdavi Applied mathematics and computation 198 (2), 643-656, 2008 | 1053 | 2008 |
| Adaptive personalized federated learning Y Deng, MM Kamani, M Mahdavi arXiv preprint arXiv:2003.13461, 2020 | 611 | 2020 |
| Nystrom method vs random fourier features: a theoretical and empirical comparison T Yang, YF Li, M Mahdavi, R Jin, ZH Zhou Advances in Neural Information Processing Systems, 2012 | 437 | 2012 |
| Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems M Fesanghary, M Mahdavi, M Minary-Jolandan, Y Alizadeh Computer methods in applied mechanics and engineering 197 (33), 3080-3091, 2008 | 425 | 2008 |
| Federated learning with compression: Unified analysis and sharp guarantees F Haddadpour, MM Kamani, A Mokhtari, M Mahdavi International Conference on Artificial Intelligence and Statistics, 2350-2358, 2021 | 300 | 2021 |
| On the convergence of local descent methods in federated learning F Haddadpour, M Mahdavi arXiv preprint arXiv:1910.14425, 2019 | 296 | 2019 |
| Trading regret for efficiency: online convex optimization with long term constraints M Mahdavi, R Jin, T Yang Journal of Machine Learning Research (JMLR) 13, 2503−2528, 2012 | 286 | 2012 |
| Online optimization with gradual variations. CK Chiang, T Yang, CJ Lee, M Mahdavi, CJ Lu, R Jin, S Zhu Journal of Machine Learning Research-Proceedings Track 23, 6.1-6.20, 2012 | 259 | 2012 |
| Local sgd with periodic averaging: Tighter analysis and adaptive synchronization F Haddadpour, MM Kamani, M Mahdavi, V Cadambe Advances in Neural Information Processing Systems 32, 2019 | 229 | 2019 |
| Harmony k-means algorithm for document clustering M Mahdavi, H Abolhassani Data Mining and Knowledge Discovery 18 (3), 370-391, 2009 | 194 | 2009 |
| Linear convergence with condition number independent access of full gradients L Zhang, M Mahdavi, R Jin Advances in Neural Information Processing Systems, 980-988, 2013 | 177 | 2013 |
| Matrix factorization with explicit trust and distrust side information for improved social recommendation R Forsati, M Mahdavi, M Shamsfard, M Sarwat ACM Transactions on Information Systems (TOIS) 32 (4), 1-38, 2014 | 157 | 2014 |
| Distributionally Robust Federated Averaging Y Deng, MM Kamani, M Mahdavi Advances in Neural Information Processing Systems 33, 2020 | 148 | 2020 |
| Novel meta-heuristic algorithms for clustering web documents M Mahdavi, MH Chehreghani, H Abolhassani, R Forsati Applied Mathematics and Computation 201 (1-2), 441-451, 2008 | 144 | 2008 |
| Efficient stochastic algorithms for document clustering R Forsati, M Mahdavi, M Shamsfard, MR Meybodi Information Sciences 220, 269-291, 2013 | 142 | 2013 |
| Harmony search based algorithms for bandwidth-delay-constrained least-cost multicast routing R Forsati, AT Haghighat, M Mahdavi Computer Communications 31 (10), 2505-2519, 2008 | 139 | 2008 |
| Robust ensemble clustering by matrix completion J Yi, T Yang, R Jin, AK Jain, M Mahdavi Data Mining (ICDM), 2012 IEEE 12th International Conference on, 1176-1181, 2012 | 109 | 2012 |
| Minimal variance sampling with provable guarantees for fast training of graph neural networks W Cong, R Forsati, M Kandemir, M Mahdavi Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 99 | 2020 |
| Do We Really Need Complicated Model Architectures For Temporal Networks? W Cong, S Zhang, J Kang, B Yuan, H Wu, X Zhou, H Tong, M Mahdavi International Conference on Learning Representations (ICLR), 2023 | 94 | 2023 |
Rong JinAlibaba GroupVerified email at cse.msu.edu
