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stat.ML2024
Online Policy Learning and Inference by Matrix Completion
Congyuan Duan, Jingyang Li, Dong Xia
Is it possible to make online decisions when personalized covariates are unavailable? We take a collaborative-filtering approach for decision-making based on collective preferences…
stat.ML2024
Online Tensor Learning: Computational and Statistical Trade-offs, Adaptivity and Optimal Regret
Jingyang Li, Jian-Feng Cai, Yang Chen +1
Large tensor learning algorithms are typically computationally expensive and require storing a vast amount of data. In this paper, we propose a unified online Riemannian gradient d…