Gabriel Mancino-Ball
3 papers · 2023–2025 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Top co-authors
Research topics
Keywords
decentralized optimization
(2)
stochastic optimization
(2)
non-convex optimization
(1)
hyperparameter optimization
(1)
sample complexity
(1)
composite optimization
(1)
communication complexity
(1)
distributed learning
(1)
minimax optimization
(1)
variance reduction
(1)
bayesian optimization
(1)
momentum method
(1)
design of experiment
(1)
self-driving laboratory
(1)
stochastic gradient
(1)
Papers
BoFire: Bayesian Optimization Framework Intended for Real Experiments
JMLR 2025
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
AAAI 2024
Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization
AAAI 2023