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math.NA2022
Streaming Tensor Train Approximation
Daniel Kressner, Bart Vandereycken, Rik Voorhaar
Tensor trains are a versatile tool to compress and work with high-dimensional data and functions. In this work we introduce the Streaming Tensor Train Approximation (STTA), a new c…
cs.LG2022
TTML: tensor trains for general supervised machine learning
Bart Vandereycken, Rik Voorhaar
This work proposes a novel general-purpose estimator for supervised machine learning (ML) based on tensor trains (TT). The estimator uses TTs to parametrize discretized functions,…