Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality

13 November 2018

Papers citing "Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality"

7 / 7 papers shown

Title
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion Jingyang Li Jiuqian Shang Yang Chen 22 0 0 16 May 2025
Towards Quantum Tensor Decomposition in Biomedical Applications Myson Burch Jiasen Zhang Gideon Idumah Hakan Doga R. Lartey ... Weihong Guo Ying Ni Laxmi Parida Xiaojuan Li Aritra Bose 94 2 0 18 Feb 2025
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model Runshi Tang M. Yuan Anru R. Zhang 49 3 0 02 Jul 2023
Statistical and computational rates in high rank tensor estimation Chanwoo Lee Miaoyan Wang 42 1 0 08 Apr 2023
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization Jian-Feng Cai Jingyang Li Dong Xia 54 30 0 16 Mar 2021
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation Rungang Han Rebecca Willett Anru R. Zhang 29 65 0 26 Feb 2020
Community Detection on Mixture Multi-layer Networks via Regularized Tensor Decomposition Bing-Yi Jing Ting Li Zhongyuan Lyu Dong Xia 40 64 0 10 Feb 2020