| Transformers as Support Vector Machines DA Tarzanagh, Y Li, C Thrampoulidis, S Oymak arXiv preprint arXiv:2308.16898, 2023 | 79 | 2023 |
| DAdam: A Consensus-Based Distributed Adaptive Gradient Method for Online Optimization P Nazari, DA Tarzanagh, G Michailidis IEEE Transactions on Signal Processing 70, 6065-6079, 2022 | 77 | 2022 |
| FedNest: Federated Bilevel, Minimax, and Compositional Optimization DA Tarzanagh, M Li, C Thrampoulidis, S Oymak International Conference on Machine Learning 162, 21146-21179, 2022 | 75 | 2022 |
| Fast randomized algorithms for t-product based tensor operations and decompositions with applications to imaging data DA Tarzanagh, G Michailidis SIAM Journal on Imaging Sciences 11 (4), 2629-2664, 2018 | 71 | 2018 |
| Max-Margin Token Selection in Attention Mechanism D Ataee Tarzanagh, Y Li, X Zhang, S Oymak Advances in Neural Information Processing Systems 36, 2024 | 53 | 2024 |
| Grassmannian optimization for online tensor completion and tracking with the t-SVD K Gilman, DA Tarzanagh, L Balzano IEEE Transactions on Signal Processing 70, 2152-2167, 2022 | 33* | 2022 |
| Estimation of graphical models through structured norm minimization DA Tarzanagh, G Michailidis Journal of machine learning research 18 (209), 1-48, 2018 | 27 | 2018 |
| Identification and adaptive control of markov jump systems: Sample complexity and regret bounds Y Sattar, Z Du, DA Tarzanagh, L Balzano, N Ozay, S Oymak arXiv preprint arXiv:2111.07018, 2021 | 26 | 2021 |
| A relaxed nonmonotone adaptive trust region method for solving unconstrained optimization problems M Reza Peyghami, D Ataee Tarzanagh Computational Optimization and Applications 61, 321-341, 2015 | 20 | 2015 |
| A new nonmonotone trust region method for unconstrained optimization equipped by an efficient adaptive radius D Ataee Tarzanagh, MR Peyghami, H Mesgarani Optimization methods and software 29 (4), 819-836, 2014 | 19 | 2014 |
| Adaptive online distributed optimization in dynamic environments P Nazari, E Khorram, DA Tarzanagh Optimization Methods and Software 36 (5), 973-997, 2021 | 18 | 2021 |
| Solving a class of non-convex min-max games using adaptive momentum methods B Barazandeh, DA Tarzanagh, G Michailidis ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 17 | 2021 |
| Adaptive first-and zeroth-order methods for weakly convex stochastic optimization problems P Nazari, DA Tarzanagh, G Michailidis arXiv preprint arXiv:2005.09261, 2020 | 14 | 2020 |
| Certainty equivalent quadratic control for Markov jump systems Y Sattar, Z Du, DA Tarzanagh, S Oymak, L Balzano, N Ozay 2022 American Control Conference (ACC), 2871-2878, 2022 | 13* | 2022 |
| Online bilevel optimization: Regret analysis of online alternating gradient methods DA Tarzanagh, P Nazari, B Hou, L Shen, L Balzano International Conference on Artificial Intelligence and Statistics, 2854-2862, 2024 | 11 | 2024 |
| Data-driven control of markov jump systems: Sample complexity and regret bounds Z Du, Y Sattar, DA Tarzanagh, L Balzano, N Ozay, S Oymak 2022 American Control Conference (ACC), 4901-4908, 2022 | 11 | 2022 |
| A nonmonotone PRP conjugate gradient method for solving square and under-determined systems of equations DA Tarzanagh, P Nazari, MR Peyghami Computers & Mathematics with Applications 73 (2), 339-354, 2017 | 10 | 2017 |
| A new regularized limited memory BFGS-type method based on modified secant conditions for unconstrained optimization problems DA Tarzanagh, MR Peyghami Journal of Global Optimization 63, 709-728, 2015 | 10 | 2015 |
| Fairness-aware class imbalanced learning on multiple subgroups DA Tarzanagh, B Hou, B Tong, Q Long, L Shen Uncertainty in Artificial Intelligence, 2123-2133, 2023 | 9 | 2023 |
| A new trust region method for solving least-square transformation of system of equalities and inequalities DA Tarzanagh, Z Saeidian, MR Peyghami, H Mesgarani Optimization Letters 9, 283-310, 2015 | 9 | 2015 |
George MichailidisProfessor of Statistics and Computer ScienceVerified email at ufl.edu