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2020 – today
- 2025
[i3]Wei Liu, Khan Muhammad, Gabriel Mancino-Ball, Yangyang Xu:
A stochastic smoothing framework for nonconvex-nonconcave min-sum-max problems with applications to Wasserstein distributionally robust optimization. CoRR abs/2502.17602 (2025)- 2024
- [c2]Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat, Yangyang Xu:
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization. AAAI 2024: 20865-20873 - [i2]Johannes P. Dürholt, Thomas S. Asche, Johanna Kleinekorte, Gabriel Mancino-Ball, Benjamin Schiller, Simon Sung, Julian Keupp, Aaron Osburg, Toby Boyne, Ruth Misener, Rosona Eldred, Wagner Steuer Costa
, Chrysoula Kappatou, Robert M. Lee, Dominik Linzner, David Walz, Niklas Wulkow, Behrang Shafei:
BoFire: Bayesian Optimization Framework Intended for Real Experiments. CoRR abs/2408.05040 (2024) - 2023
- [j1]Gabriel Mancino-Ball, Yangyang Xu, Jie Chen:
A Decentralized Primal-Dual Framework for Non-Convex Smooth Consensus Optimization. IEEE Trans. Signal Process. 71: 525-538 (2023) - [c1]Gabriel Mancino-Ball, Shengnan Miao, Yangyang Xu, Jie Chen:
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization. AAAI 2023: 9055-9063 - [i1]Gabriel Mancino-Ball, Yangyang Xu:
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems. CoRR abs/2307.07113 (2023)
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