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math.OC2026
Nesterov acceleration in optimizing over probability measures
Jiaqi Tang, Qin Li, Wilfrid Gangbo
Optimization over probability measures has become an increasingly important paradigm in modern machine learning, scientific computing, and uncertainty quantification. Motivated by…
math.OC2023
Accelerating optimization over the space of probability measures
Shi Chen, Qin Li, Oliver Tse +1
The acceleration of gradient-based optimization methods is a subject of significant practical and theoretical importance, particularly within machine learning applications. While m…