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20162026
most citedTTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning

9 citations · 22 across the 14 of their papers we have counts for

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math.OC2025

High-dimensional Optimization with Low Rank Tensor Sampling and Local Search

Konstantin Sozykin, Andrei Chertkov, Anh-Huy Phan +2

We present a novel method called TESALOCS (TEnsor SAmpling and LOCal Search) for multidimensional optimization, combining the strengths of gradient-free discrete methods and gradie…