ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1512.01215
  4. Cited By
Convex Regularization for High-Dimensional Multi-Response Tensor
  Regression

Convex Regularization for High-Dimensional Multi-Response Tensor Regression

3 December 2015
Garvesh Raskutti
M. Yuan
Han Chen
ArXivPDFHTML

Papers citing "Convex Regularization for High-Dimensional Multi-Response Tensor Regression"

15 / 15 papers shown
Title
A Unified Regularization Approach to High-Dimensional Generalized Tensor Bandits
A Unified Regularization Approach to High-Dimensional Generalized Tensor Bandits
Jiannan Li
Yiyang Yang
Shaojie Tang
Yao Wang
45
0
0
18 Jan 2025
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition
Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition
Zhen Qin
Zhihui Zhu
79
4
0
10 Jun 2024
Tensor Methods in High Dimensional Data Analysis: Opportunities and
  Challenges
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
Arnab Auddy
Dong Xia
Ming Yuan
AI4CE
52
2
0
28 May 2024
Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled
  Gradient Descent, Even with Overparameterization
Provably Accelerating Ill-Conditioned Low-rank Estimation via Scaled Gradient Descent, Even with Overparameterization
Cong Ma
Xingyu Xu
Tian Tong
Yuejie Chi
23
10
0
09 Oct 2023
Structured Low-Rank Tensors for Generalized Linear Models
Structured Low-Rank Tensors for Generalized Linear Models
Batoul Taki
Anand D. Sarwate
W. Bajwa
31
2
0
05 Aug 2023
Quantized Low-Rank Multivariate Regression with Random Dithering
Quantized Low-Rank Multivariate Regression with Random Dithering
Junren Chen
Yueqi Wang
Michael Kwok-Po Ng
39
5
0
22 Feb 2023
Decomposable Sparse Tensor on Tensor Regression
Decomposable Sparse Tensor on Tensor Regression
Haiyi Mao
J. Dou
25
1
0
09 Dec 2022
Elliptically-Contoured Tensor-variate Distributions with Application to
  Improved Image Learning
Elliptically-Contoured Tensor-variate Distributions with Application to Improved Image Learning
Carlos Llosa-Vite
R. Maitra
32
1
0
13 Nov 2022
Tensor-on-Tensor Regression: Riemannian Optimization,
  Over-parameterization, Statistical-computational Gap, and Their Interplay
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
Yuetian Luo
Anru R. Zhang
41
19
0
17 Jun 2022
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian
  Optimization
Generalized Low-rank plus Sparse Tensor Estimation by Fast Riemannian Optimization
Jian-Feng Cai
Jingyang Li
Dong Xia
56
30
0
16 Mar 2021
An Optimal Statistical and Computational Framework for Generalized
  Tensor Estimation
An Optimal Statistical and Computational Framework for Generalized Tensor Estimation
Rungang Han
Rebecca Willett
Anru R. Zhang
31
65
0
26 Feb 2020
Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order
  Regression Models
Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models
Jiaqi Zhang
Beilun Wang
19
0
0
29 Nov 2019
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance
  Sketching
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching
Anru R. Zhang
Yuetian Luo
Garvesh Raskutti
M. Yuan
37
44
0
09 Nov 2019
High-Dimensional Bernoulli Autoregressive Process with Long-Range
  Dependence
High-Dimensional Bernoulli Autoregressive Process with Long-Range Dependence
Parthe Pandit
Mojtaba Sahraee-Ardakan
Arash A. Amini
S. Rangan
A. Fletcher
28
0
0
19 Mar 2019
Singular vector and singular subspace distribution for the matrix
  denoising model
Singular vector and singular subspace distribution for the matrix denoising model
Z. Bao
Xiucai Ding
Ke Wang
21
51
0
27 Sep 2018
1