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 | 12 | 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 | 6 | 2023 |
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 | 5 | 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 | 4 | 2024 |
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 |