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Gabriel Mancino-Ball
Gabriel Mancino-Ball
ML Researcher
Verified email at str.us - Homepage
Title
Cited by
Cited by
Year
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
122023
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
62023
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
52023
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
42024
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
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