Gabriel Mancino-Ball

According to our database, Gabriel Mancino-Ball authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Advancing Reliable Synthetic Video Detection: Insights from the SAFE Challenge.

Kirill Trapeznikov, Gabriel Mancino-Ball, Jonathan Li, Paul Cummer, Jai Aslam, Danial Samadi Vahdati, Tai Nguyen, Matthew C. Stamm, Peter Bautista, Michael Davinroy, Laura Cassani, Jill Crisman

CoRR, May, 2026

Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems.

Gabriel Mancino-Ball, Yangyang Xu

Trans. Mach. Learn. Res., 2026

2025

A stochastic smoothing framework for nonconvex-nonconcave min-sum-max problems with applications to Wasserstein distributionally robust optimization.

Wei Liu, Khan Muhammad, Gabriel Mancino-Ball, Yangyang Xu

CoRR, February, 2025

BoFire: Bayesian Optimization Framework Intended for Real Experiments.

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, Chrysoula Kappatou, Robert M. Lee, Dominik Linzner, Wagner Steuer Costa, David Walz, Niklas Wulkow, Behrang Shafei

J. Mach. Learn. Res., 2025

2024

Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization.

Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat, Yangyang Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Decentralized Primal-Dual Framework for Non-Convex Smooth Consensus Optimization.

Gabriel Mancino-Ball, Yangyang Xu, Jie Chen

IEEE Trans. Signal Process., 2023

Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization.

Gabriel Mancino-Ball, Shengnan Miao, Yangyang Xu, Jie Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023