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20182025
most citedNesterov Acceleration of Alternating Least Squares for Canonical Tensor Decomposition: Momentum Step Size Selection and Restart Mechanisms

2 citations · 2 across the 3 of their papers we have counts for

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math.OC2025

Verifying Probabilistic Regions of Attraction with Neural Lyapunov Functions for Stochastic Systems

Yun Su, Hans De Sterck, Jun Liu

Leveraging a stochastic extension of Zubov's equation, we develop a physics-informed neural network (PINN) approach for learning a neural Lyapunov function that captures the larges…

math.OC2018★ 2 cited

Nesterov Acceleration of Alternating Least Squares for Canonical Tensor Decomposition: Momentum Step Size Selection and Restart Mechanisms

Drew Mitchell, Nan Ye, Hans De Sterck

We present Nesterov-type acceleration techniques for Alternating Least Squares (ALS) methods applied to canonical tensor decomposition. While Nesterov acceleration turns gradient d…