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. 1507.05498
  4. Cited By
On the Minimax Risk of Dictionary Learning

On the Minimax Risk of Dictionary Learning

20 July 2015
A. Jung
Yonina C. Eldar
N. Goertz
ArXiv (abs)PDFHTML

Papers citing "On the Minimax Risk of Dictionary Learning"

16 / 16 papers shown
Title
DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces
DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces
Romeo Valentin
Sydney M. Katz
Vincent Vanhoucke
Mykel J. Kochenderfer
66
0
0
24 May 2025
Optimal vintage factor analysis with deflation varimax
Optimal vintage factor analysis with deflation varimax
Xin Bing
Dian Jin
Yuqian Zhang
Yuqian Zhang
435
2
0
16 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
56
2
0
05 Aug 2023
Compressed Regression over Adaptive Networks
Compressed Regression over Adaptive Networks
Marco Carpentiero
Vincenzo Matta
Ali H. Sayed
56
2
0
07 Apr 2023
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded
  as Neural Networks
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks
Ekkehard Schnoor
Arash Behboodi
Holger Rauhut
53
14
0
08 Dec 2021
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression
Batoul Taki
Mohsen Ghassemi
Anand D. Sarwate
W. Bajwa
32
3
0
31 May 2021
Compressive Sensing and Neural Networks from a Statistical Learning
  Perspective
Compressive Sensing and Neural Networks from a Statistical Learning Perspective
Arash Behboodi
Holger Rauhut
Ekkehard Schnoor
89
19
0
29 Oct 2020
Efficient and Parallel Separable Dictionary Learning
Efficient and Parallel Separable Dictionary Learning
Cristian Rusu
Paul Irofti
54
0
0
07 Jul 2020
Recovery and Generalization in Over-Realized Dictionary Learning
Recovery and Generalization in Over-Realized Dictionary Learning
Jeremias Sulam
Chong You
Zhihui Zhu
FedML
62
8
0
11 Jun 2020
NOODL: Provable Online Dictionary Learning and Sparse Coding
NOODL: Provable Online Dictionary Learning and Sparse Coding
Sirisha Rambhatla
Xingguo Li
Jarvis Haupt
68
18
0
28 Feb 2019
Deeply-Sparse Signal rePresentations ($\text{D}\text{S}^2\text{P}$)
Deeply-Sparse Signal rePresentations (DS2P\text{D}\text{S}^2\text{P}DS2P)
Demba E. Ba
86
7
0
05 Jul 2018
Identifiability of Kronecker-structured Dictionaries for Tensor Data
Identifiability of Kronecker-structured Dictionaries for Tensor Data
Z. Shakeri
Anand D. Sarwate
W. Bajwa
65
12
0
10 Dec 2017
Noise Level Estimation for Overcomplete Dictionary Learning Based on
  Tight Asymptotic Bounds
Noise Level Estimation for Overcomplete Dictionary Learning Based on Tight Asymptotic Bounds
Rui Chen
Changshui Yang
Huizhu Jia
Xiaodong Xie
20
4
0
09 Dec 2017
On the Reconstruction Risk of Convolutional Sparse Dictionary Learning
On the Reconstruction Risk of Convolutional Sparse Dictionary Learning
Shashank Singh
Barnabás Póczós
Jian Ma
83
2
0
29 Aug 2017
Rank-One NMF-Based Initialization for NMF and Relative Error Bounds
  under a Geometric Assumption
Rank-One NMF-Based Initialization for NMF and Relative Error Bounds under a Geometric Assumption
Zhaoqiang Liu
Vincent Y. F. Tan
46
14
0
27 Dec 2016
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning
Z. Shakeri
W. Bajwa
Anand D. Sarwate
40
18
0
17 May 2016
1