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Matrix estimation by Universal Singular Value Thresholding

Matrix estimation by Universal Singular Value Thresholding

6 December 2012
S. Chatterjee
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Papers citing "Matrix estimation by Universal Singular Value Thresholding"

50 / 248 papers shown
Title
Graphon-aided Joint Estimation of Multiple Graphs
Graphon-aided Joint Estimation of Multiple Graphs
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Santiago Segarra
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11 Feb 2022
Entropic Optimal Transport in Random Graphs
Entropic Optimal Transport in Random Graphs
Nicolas Keriven
OT
18
4
0
11 Jan 2022
A Cross Validation Framework for Signal Denoising with Applications to
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A Cross Validation Framework for Signal Denoising with Applications to Trend Filtering, Dyadic CART and Beyond
A. Chaudhuri
S. Chatterjee
11
3
0
07 Jan 2022
Federated Optimization of Smooth Loss Functions
Federated Optimization of Smooth Loss Functions
Ali Jadbabaie
A. Makur
Devavrat Shah
FedML
21
7
0
06 Jan 2022
Asymptotics of $\ell_2$ Regularized Network Embeddings
Asymptotics of ℓ2\ell_2ℓ2​ Regularized Network Embeddings
A. Davison
23
0
0
05 Jan 2022
Consistency of Spectral Seriation
Consistency of Spectral Seriation
A. Natik
Aaron Smith
20
5
0
08 Dec 2021
Denoised Internal Models: a Brain-Inspired Autoencoder against
  Adversarial Attacks
Denoised Internal Models: a Brain-Inspired Autoencoder against Adversarial Attacks
Kaiyuan Liu
Xingyu Li
Yu-Rui Lai
Hong Xie
Hang Su
Jiacheng Wang
Chunxu Guo
J. Guan
Yi Zhou
AAML
28
3
0
21 Nov 2021
Achievability and Impossibility of Exact Pairwise Ranking
Achievability and Impossibility of Exact Pairwise Ranking
Yihan He
16
0
0
19 Nov 2021
Optimality of variational inference for stochastic block model with
  missing links
Optimality of variational inference for stochastic block model with missing links
Solenne Gaucher
Olga Klopp
31
2
0
05 Nov 2021
Nonparametric Matrix Estimation with One-Sided Covariates
Nonparametric Matrix Estimation with One-Sided Covariates
Chao Yu
21
3
0
26 Oct 2021
Causal Matrix Completion
Causal Matrix Completion
Anish Agarwal
M. Dahleh
Devavrat Shah
Dennis Shen
CML
48
51
0
30 Sep 2021
Training Graph Neural Networks by Graphon Estimation
Training Graph Neural Networks by Graphon Estimation
Ziqing Hu
Yihao Fang
Lizhen Lin
13
6
0
04 Sep 2021
Estimating Graph Dimension with Cross-validated Eigenvalues
Estimating Graph Dimension with Cross-validated Eigenvalues
Fan Chen
S. Roch
Karl Rohe
Shuqi Yu
27
12
0
06 Aug 2021
Network Estimation by Mixing: Adaptivity and More
Network Estimation by Mixing: Adaptivity and More
Tianxi Li
Can M. Le
16
5
0
05 Jun 2021
Matrix completion with data-dependent missingness probabilities
Matrix completion with data-dependent missingness probabilities
Sohom Bhattacharya
S. Chatterjee
22
18
0
04 Jun 2021
Learning Graphon Autoencoders for Generative Graph Modeling
Learning Graphon Autoencoders for Generative Graph Modeling
Hongteng Xu
P. Zhao
Junzhou Huang
Dixin Luo
GNN
41
5
0
29 May 2021
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
Krishnakumar Balasubramanian
22
12
0
18 May 2021
On the Optimality of Nuclear-norm-based Matrix Completion for Problems
  with Smooth Non-linear Structure
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure
Yunhua Xiang
Tianyu Zhang
Xu Wang
Ali Shojaie
N. Simon
16
1
0
05 May 2021
Biwhitening Reveals the Rank of a Count Matrix
Biwhitening Reveals the Rank of a Count Matrix
Boris Landa
Thomas T. Zhang
Y. Kluger
8
21
0
25 Mar 2021
Matrix Decomposition on Graphs: A Functional View
Matrix Decomposition on Graphs: A Functional View
Abhishek Sharma
M. Ovsjanikov
12
3
0
05 Feb 2021
Hawkes Processes on Graphons
Hawkes Processes on Graphons
Hongteng Xu
Dixin Luo
H. Zha
32
1
0
04 Feb 2021
Informative core identification in complex networks
Informative core identification in complex networks
Ruizhong Miao
Tianxi Li
11
7
0
16 Jan 2021
Optimal network online change point localisation
Optimal network online change point localisation
Yi Yu
Oscar Hernan Madrid Padilla
Daren Wang
Alessandro Rinaldo
17
14
0
14 Jan 2021
Assessing the Impact: Does an Improvement to a Revenue Management System
  Lead to an Improved Revenue?
Assessing the Impact: Does an Improvement to a Revenue Management System Lead to an Improved Revenue?
G. Laage
Emma Frejinger
Andrea Lodi
Guillaume Rabusseau
11
0
0
13 Jan 2021
Modularity maximisation for graphons
Modularity maximisation for graphons
F. Klimm
N. Jones
Michael T. Schaub
21
1
0
02 Jan 2021
Latent space models for multiplex networks with shared structure
Latent space models for multiplex networks with shared structure
Peter Macdonald
Elizaveta Levina
Ji Zhu
25
31
0
28 Dec 2020
Empirical Bayes PCA in high dimensions
Empirical Bayes PCA in high dimensions
Xinyi Zhong
Chang Su
Z. Fan
13
19
0
21 Dec 2020
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Learning Graphons via Structured Gromov-Wasserstein Barycenters
Hongteng Xu
Dixin Luo
Lawrence Carin
H. Zha
46
28
0
10 Dec 2020
A review on minimax rates in change point detection and localisation
A review on minimax rates in change point detection and localisation
Yi Yu
9
17
0
03 Nov 2020
On Model Identification and Out-of-Sample Prediction of Principal
  Component Regression: Applications to Synthetic Controls
On Model Identification and Out-of-Sample Prediction of Principal Component Regression: Applications to Synthetic Controls
Anish Agarwal
Devavrat Shah
Dennis Shen
40
2
0
27 Oct 2020
Random Geometric Graphs on Euclidean Balls
Random Geometric Graphs on Euclidean Balls
Ernesto Araya Valdivia
10
4
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26 Oct 2020
A Simple Spectral Failure Mode for Graph Convolutional Networks
A Simple Spectral Failure Mode for Graph Convolutional Networks
Carey E. Priebe
Cencheng Shen
Ningyuan Huang
Tianyi Chen
GNN
19
7
0
25 Oct 2020
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and
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Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion
Takeyuki Sasai
Hironori Fujisawa
25
0
0
25 Oct 2020
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
Yuchen Zhou
Anru R. Zhang
Lili Zheng
Yazhen Wang
24
22
0
06 Oct 2020
Determining the Number of Factors in High-dimensional Generalized Latent
  Factor Models
Determining the Number of Factors in High-dimensional Generalized Latent Factor Models
Yunxiao Chen
Xiaoou Li
17
15
0
05 Oct 2020
ScreeNOT: Exact MSE-Optimal Singular Value Thresholding in Correlated
  Noise
ScreeNOT: Exact MSE-Optimal Singular Value Thresholding in Correlated Noise
D. Donoho
M. Gavish
Elad Romanov
12
27
0
25 Sep 2020
Trading off Accuracy for Speedup: Multiplier Bootstraps for Subgraph
  Counts
Trading off Accuracy for Speedup: Multiplier Bootstraps for Subgraph Counts
Qiaohui Lin
Robert Lunde
Purnamrita Sarkar
9
1
0
14 Sep 2020
Isotonic regression with unknown permutations: Statistics, computation,
  and adaptation
Isotonic regression with unknown permutations: Statistics, computation, and adaptation
A. Pananjady
R. Samworth
16
25
0
05 Sep 2020
The Importance of Being Correlated: Implications of Dependence in Joint
  Spectral Inference across Multiple Networks
The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks
Konstantinos Pantazis
A. Athreya
Jesús Arroyo
W. Frost
E. Hill
V. Lyzinski
21
11
0
01 Aug 2020
Random Graph Asymptotics for Treatment Effect Estimation under Network
  Interference
Random Graph Asymptotics for Treatment Effect Estimation under Network Interference
Shuangning Li
Stefan Wager
CML
9
60
0
27 Jul 2020
Central limit theorems for local network statistics
Central limit theorems for local network statistics
P. Maugis
GNN
9
6
0
28 Jun 2020
Estimation of Skill Distributions
Estimation of Skill Distributions
Ali Jadbabaie
A. Makur
Devavrat Shah
11
4
0
15 Jun 2020
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
Devavrat Shah
Dogyoon Song
Zhi Xu
Yuzhe Yang
14
31
0
11 Jun 2020
Optimal singular value shrinkage for operator norm loss
Optimal singular value shrinkage for operator norm loss
W. Leeb
9
11
0
24 May 2020
Detection thresholds in very sparse matrix completion
Detection thresholds in very sparse matrix completion
C. Bordenave
Simon Coste
R. Nadakuditi
20
25
0
12 May 2020
Vertex Nomination in Richly Attributed Networks
Vertex Nomination in Richly Attributed Networks
Keith D. Levin
Carey E. Priebe
V. Lyzinski
3DH
6
0
0
29 Apr 2020
Estimation Methods for Item Factor Analysis: An Overview
Estimation Methods for Item Factor Analysis: An Overview
Yunxiao Chen
Siliang Zhang
CML
11
5
0
16 Apr 2020
Edgeworth expansions for network moments
Edgeworth expansions for network moments
Yuan Zhang
Dong Xia
32
25
0
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General Community Detection with Optimal Recovery Conditions for
  Multi-relational Sparse Networks with Dependent Layers
General Community Detection with Optimal Recovery Conditions for Multi-relational Sparse Networks with Dependent Layers
Sharmodeep Bhattacharyya
S. Chatterjee
10
14
0
06 Apr 2020
Nonconvex Matrix Completion with Linearly Parameterized Factors
Nonconvex Matrix Completion with Linearly Parameterized Factors
Ji Chen
Xiaodong Li
Zongming Ma
16
3
0
29 Mar 2020
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