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A Gradient Descent Algorithm on the Grassman Manifold for Matrix
  Completion

A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion

27 October 2009
Raghunandan H. Keshavan
Sewoong Oh
ArXivPDFHTML

Papers citing "A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion"

23 / 23 papers shown
Title
Combining Explicit and Implicit Regularization for Efficient Learning in
  Deep Networks
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks
Dan Zhao
23
5
0
01 Jun 2023
A Novel Stochastic Gradient Descent Algorithm for Learning Principal
  Subspaces
A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces
Charline Le Lan
Joshua Greaves
Jesse Farebrother
Mark Rowland
Fabian Pedregosa
Rishabh Agarwal
Marc G. Bellemare
52
8
0
08 Dec 2022
A Parameter-free Nonconvex Low-rank Tensor Completion Model for
  Spatiotemporal Traffic Data Recovery
A Parameter-free Nonconvex Low-rank Tensor Completion Model for Spatiotemporal Traffic Data Recovery
Yang He
Yuheng Jia
Liyang Hu
Chengchuan An
Zhenbo Lu
Jingxin Xia
32
2
0
28 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Tengjiao Wang
Ming-Hsuan Yang
DiffM
MedIm
226
1,320
0
02 Sep 2022
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
Pini Zilber
B. Nadler
28
8
0
31 Jan 2022
Multi-Tensor Network Representation for High-Order Tensor Completion
Multi-Tensor Network Representation for High-Order Tensor Completion
Chang Nie
Huan Wang
Zhihui Lai
17
2
0
09 Sep 2021
Influence-guided Data Augmentation for Neural Tensor Completion
Influence-guided Data Augmentation for Neural Tensor Completion
Sejoon Oh
Sungchul Kim
Ryan A. Rossi
Srijan Kumar
28
10
0
23 Aug 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time
  Series Imputation
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
Y. Tashiro
Jiaming Song
Yang Song
Stefano Ermon
BDL
DiffM
27
516
0
07 Jul 2021
Estimating Traffic Speeds using Probe Data: A Deep Neural Network
  Approach
Estimating Traffic Speeds using Probe Data: A Deep Neural Network Approach
Felix Rempe
P. Franeck
Klaus Bogenberger
3DV
24
2
0
19 Apr 2021
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian
  Process: A New Insight into Machine Learning Applications
Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
Yun Yuan
X. Yang
Zhao Zhang
Shandian Zhe
AI4CE
36
96
0
06 Feb 2020
From Data to Actions in Intelligent Transportation Systems: a
  Prescription of Functional Requirements for Model Actionability
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability
I. Laña
J. S. Medina
E. Vlahogianni
Javier Del Ser
30
51
0
06 Feb 2020
Robust Tensor Recovery with Fiber Outliers for Traffic Events
Robust Tensor Recovery with Fiber Outliers for Traffic Events
Yue Hu
D. Work
97
33
0
27 Aug 2019
Understanding Urban Dynamics via Context-aware Tensor Factorization with
  Neighboring Regularization
Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization
Jingyuan Wang
Junjie Wu
Ze Wang
Fei Gao
Z. Xiong
16
54
0
25 Apr 2019
Efficient Optimization Algorithms for Robust Principal Component
  Analysis and Its Variants
Efficient Optimization Algorithms for Robust Principal Component Analysis and Its Variants
Shiqian Ma
N. Aybat
20
51
0
09 Jun 2018
PCA-Based Missing Information Imputation for Real-Time Crash Likelihood
  Prediction Under Imbalanced Data
PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data
Jintao Ke
Shuaichao Zhang
Hai Yang
X. Chen
8
43
0
11 Feb 2018
Short-term traffic flow forecasting with spatial-temporal correlation in
  a hybrid deep learning framework
Short-term traffic flow forecasting with spatial-temporal correlation in a hybrid deep learning framework
Yuankai Wu
Huachun Tan
AI4TS
34
249
0
03 Dec 2016
Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix
  Completion Algorithm and Theoretical Guarantees
Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix Completion Algorithm and Theoretical Guarantees
M. Taghizadeh
R. Parhizkar
Philip N. Garner
H. Bourlard
Afsaneh Asaei
17
26
0
31 Aug 2014
Exploring Algorithmic Limits of Matrix Rank Minimization under Affine
  Constraints
Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints
Bo Xin
David Wipf
41
15
0
10 Jun 2014
Leveraging Side Observations in Stochastic Bandits
Leveraging Side Observations in Stochastic Bandits
S. Caron
B. Kveton
Marc Lelarge
Smriti Bhagat
37
111
0
16 Oct 2012
A Combinatorial Algebraic Approach for the Identifiability of Low-Rank
  Matrix Completion
A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion
Franz J. Király
Ryota Tomioka
14
42
0
27 Jun 2012
Calibration Using Matrix Completion with Application to Ultrasound
  Tomography
Calibration Using Matrix Completion with Application to Ultrasound Tomography
R. Parhizkar
Amin Karbasi
Sewoong Oh
M. Vetterli
54
17
0
22 Dec 2010
Penalty Decomposition Methods for Rank Minimization
Zhaosong Lu
Yong Zhang
76
91
0
31 Aug 2010
Regularization for Matrix Completion
Regularization for Matrix Completion
Raghunandan H. Keshavan
Andrea Montanari
84
21
0
02 Jan 2010
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