| Proximal stochastic recursive momentum methods for nonconvex composite decentralized optimization G Mancino-Ball, S Miao, Y Xu, J Chen Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 9055-9063, 2023 | 17 | 2023 |
| A decentralized primal-dual framework for non-convex smooth consensus optimization G Mancino-Ball, Y Xu, J Chen IEEE Transactions on Signal Processing 71, 525-538, 2023 | 11 | 2023 |
| Jointly improving the sample and communication complexities in decentralized stochastic minimax optimization X Zhang, G Mancino-Ball, NS Aybat, Y Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20865 …, 2024 | 6 | 2024 |
| Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems G Mancino-Ball, Y Xu arXiv preprint arXiv:2307.07113, 2023 | 6 | 2023 |
| A stochastic smoothing framework for nonconvex-nonconcave min-sum-max problems with applications to Wasserstein distributionally robust optimization W Liu, M Khan, G Mancino-Ball, Y Xu arXiv preprint arXiv:2502.17602, 2025 | | 2025 |
| BoFire: Bayesian Optimization Framework Intended for Real Experiments JP Dürholt, TS Asche, J Kleinekorte, G Mancino-Ball, B Schiller, S Sung, ... arXiv preprint arXiv:2408.05040, 2024 | | 2024 |
| First-order methods for large-scale distributed nonconvex optimization G Mancino-Ball Rensselaer Polytechnic Institute, 2023 | | 2023 |
Yangyang XuRensselaer Polytechnic Institute確認したメール アドレス: rpi.edu