Mehrdad Mahdavi
Mehrdad Mahdavi
Assistant Professor of Computer Science, Pennsylvania State University
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Zitiert von
Zitiert von
An improved harmony search algorithm for solving optimization problems
M Mahdavi, M Fesanghary, E Damangir
Applied Mathematics and Computation 188 (2), 1567-1579, 2007
Global-best harmony search
MGH Omran, M Mahdavi
Applied mathematics and computation 198 (2), 643-656, 2008
Adaptive personalized federated learning
Y Deng, MM Kamani, M Mahdavi
arXiv preprint arXiv:2003.13461, 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
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
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
On the convergence of local descent methods in federated learning
F Haddadpour, M Mahdavi
arXiv preprint arXiv:1910.14425, 2019
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
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
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
Harmony k-means algorithm for document clustering
M Mahdavi, H Abolhassani
Data Mining and Knowledge Discovery 18 (3), 370-391, 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
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
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
Efficient stochastic algorithms for document clustering
R Forsati, M Mahdavi, M Shamsfard, MR Meybodi
Information Sciences 220, 269-291, 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
Distributionally Robust Federated Averaging
Y Deng, MM Kamani, M Mahdavi
Advances in Neural Information Processing Systems 33, 2020
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
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
Recovering the optimal solution by dual random projection
L Zhang, M Mahdavi, R Jin, T Yang
Conference on Learning Theory (COLT), 2012
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