Inference for Low-rank Tensors -- No Need to Debias

29 December 2020

Papers citing "Inference for Low-rank Tensors -- No Need to Debias"

5 / 5 papers shown

Title
Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization Cong Ma Xingyu Xu Tian Tong Yuejie Chi 11 9 0 09 Oct 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA Yuchen Zhou Yuxin Chen 38 4 0 10 Mar 2023
Optimal Clustering by Lloyd Algorithm for Low-Rank Mixture Model Zhongyuan Lyu Dong Xia 24 3 0 11 Jul 2022
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay Yuetian Luo Anru R. Zhang 16 19 0 17 Jun 2022
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization Jian-Feng Cai Jingyang Li Dong Xia 22 30 0 16 Mar 2021