‪Gabriel Mancino-Ball‬ - ‪Google Scholar‬

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Co-authors

Yangyang XuRensselaer Polytechnic InstituteVerified email at rpi.edu
Jie ChenMIT-IBM Watson AI Lab, IBM ResearchVerified email at us.ibm.com
Shengnan MiaoRensselaer Polytechnic InstituteVerified email at rpi.edu
Xuan ZhangPh.D. Student, The Pennsylvania State UniversityVerified email at psu.edu
Necdet Serhat AybatIndustrial Engineering, Penn State UniversityVerified email at psu.edu

Gabriel Mancino-Ball

Gabriel Mancino-Ball

ML Researcher

Verified email at evonik.com - Homepage

Optimization Machine Learning Distributed Computing


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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	10	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	4	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		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		2023
First-Order Methods for Large-Scale Distributed Nonconvex Optimization G Mancino-Ball Rensselaer Polytechnic Institute, 2023		2023

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