tensor regression

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