activity
20202025
most citedAn Adaptive Gradient Method with Energy and Momentum

9 citations · 15 across the 8 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

math.OC2020★ 1 cited

Data-driven optimal control of a SEIR model for COVID-19

Hailiang Liu, Xuping Tian

We present a data-driven optimal control approach which integrates the reported partial data with the epidemic dynamics for COVID-19. We use a basic Susceptible-Exposed-Infectious-…

math.OC2020★ 2 cited

AEGD: Adaptive Gradient Descent with Energy

Hailiang Liu, Xuping Tian

We propose AEGD, a new algorithm for first-order gradient-based optimization of non-convex objective functions, based on a dynamically updated energy variable. The method is shown…