New adaptive tensor regression framework for streaming data

By PulseAugur Editorial · [1 sources] · 2026-06-10 04:00

Researchers have introduced a new adaptive tensor regression framework designed for predicting streaming matrix-valued time series data. This framework includes Matrix-on-Matrix (MoM) and Tensor-on-Matrix (ToM) formulations, with the ToM model showing superior performance in terms of lower error and better denoising. The study also provides statistical guarantees for the ToM model's recovery capabilities under various structural assumptions. AI

RANK_REASON The cluster contains a research paper detailing a new framework for data prediction. [lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Zhen Qin, Yang Chen · 2026-06-10 04:00

Structured Adaptive Tensor Prediction for Streaming Data

arXiv:2606.10085v1 Announce Type: new Abstract: Matrix-valued time series arise in a wide range of applications, such as spatio-temporal data from medical imaging and geophysics. Existing methods are mainly designed for static settings and lack adaptability to streaming and time-…

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Structured Adaptive Tensor Prediction for Streaming Data

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