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tensor regression

19 papers

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Co-occurring keywords

low-rank tensor (44) low-rank approximation (323) tucker decomposition (39) tensor decomposition (375) posterior consistency (16) sparse regression (175) bayesian inference (1907) non-convex optimization (547) recursive learning (6) label learning (4)

Papers

Tensorized Label Learning via Balanced Tensor Regression AAAI 2026
Factor Augmented Tensor-on-Tensor Neural Networks AAAI 2025
Statistical and Computational Limits for Tensor-on-Tensor Association Detection COLT 2023
Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis ICML 2023
Group SLOPE Penalized Low-Rank Tensor Regression JMLR 2023
Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence JMLR 2023
Dynamic Tensor Product Regression NIPS 2022
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements JMLR 2022
Sparse Tensor Additive Regression JMLR 2021
Soft Tensor Regression JMLR 2021
Tensor Regression Networks JMLR 2020
High-dimensional quantile tensor regression JMLR 2020
Tensorial Change Analysis Using Probabilistic Tensor Regression AAAI 2019
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression JMLR 2019
Boosted Sparse and Low-Rank Tensor Regression NIPS 2018
Bayesian Tensor Regression JMLR 2017
Near Optimal Sketching of Low-Rank Tensor Regression NIPS 2017
Fast Recursive Low-rank Tensor Learning for Regression IJCAI 2017
Learning from Multiway Data: Simple and Efficient Tensor Regression ICML 2016