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Matrix estimation by Universal Singular Value Thresholding

Matrix estimation by Universal Singular Value Thresholding

6 December 2012
S. Chatterjee
ArXivPDFHTML

Papers citing "Matrix estimation by Universal Singular Value Thresholding"

50 / 248 papers shown
Title
Risk Bounds For Distributional Regression
Risk Bounds For Distributional Regression
Carlos Misael Madrid Padilla
Oscar Hernan Madrid Padilla
S. Chatterjee
13
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0
14 May 2025
Adaptively-weighted Nearest Neighbors for Matrix Completion
Adaptively-weighted Nearest Neighbors for Matrix Completion
Tathagata Sadhukhan
Manit Paul
Raaz Dwivedi
19
0
0
14 May 2025
Low-Rank Graphon Estimation: Theory and Applications to Graphon Games
Low-Rank Graphon Estimation: Theory and Applications to Graphon Games
Olga Klopp
Fedor Noskov
31
0
0
12 Mar 2025
Optimal Transfer Learning for Missing Not-at-Random Matrix Completion
Akhil Jalan
Yassir Jedra
Arya Mazumdar
Soumendu Sundar Mukherjee
Purnamrita Sarkar
123
0
0
28 Feb 2025
Explaining the Success of Nearest Neighbor Methods in Prediction
George H. Chen
Devavrat Shah
OOD
45
145
0
21 Feb 2025
Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications
Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications
Sze Ming Lee
Yunxiao Chen
37
0
0
13 Jan 2025
Exploiting Observation Bias to Improve Matrix Completion
Exploiting Observation Bias to Improve Matrix Completion
Yassir Jedra
Sean Mann
Charlotte Park
Devavrat Shah
33
1
0
03 Jan 2025
Scalable Implicit Graphon Learning
Scalable Implicit Graphon Learning
Ali Azizpour
Nicolas Zilberstein
Santiago Segarra
GNN
33
0
0
22 Oct 2024
Learning Counterfactual Distributions via Kernel Nearest Neighbors
Learning Counterfactual Distributions via Kernel Nearest Neighbors
Kyuseong Choi
Jacob Feitelberg
Anish Agarwal
Raaz Dwivedi
OOD
OffRL
34
0
0
17 Oct 2024
Distributional Matrix Completion via Nearest Neighbors in the
  Wasserstein Space
Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space
Jacob Feitelberg
Kyuseong Choi
Anish Agarwal
Raaz Dwivedi
OffRL
18
0
0
17 Oct 2024
Minimax Optimal Probability Matrix Estimation For Graphon With Spectral
  Decay
Minimax Optimal Probability Matrix Estimation For Graphon With Spectral Decay
Yuchen Chen
Jing Lei
26
0
0
01 Oct 2024
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings
Konstantinos Pantazis
M. Trosset
W. Frost
Carey E. Priebe
V. Lyzinski
27
0
0
26 Sep 2024
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph
  Out-of-Distribution Detection
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection
Junwei He
Qianqian Xu
Yangbangyan Jiang
Zitai Wang
Yuchen Sun
Qingming Huang
OODD
35
0
0
31 Jul 2024
Estimating the number of clusters of a Block Markov Chain
Estimating the number of clusters of a Block Markov Chain
T. Vuren
Thomas Cronk
Jaron Sanders
21
0
0
25 Jul 2024
Learning Joint and Individual Structure in Network Data with Covariates
Learning Joint and Individual Structure in Network Data with Covariates
Carson James
Dongbang Yuan
Irina Gaynanova
Jesús Arroyo
CML
16
0
0
13 Jun 2024
Symmetric Matrix Completion with ReLU Sampling
Symmetric Matrix Completion with ReLU Sampling
Huikang Liu
Peng Wang
Longxiu Huang
Qing Qu
Laura Balzano
32
3
0
09 Jun 2024
Compressible Dynamics in Deep Overparameterized Low-Rank Learning &
  Adaptation
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation
Can Yaras
Peng Wang
Laura Balzano
Qing Qu
AI4CE
29
12
0
06 Jun 2024
Transfer Learning for Latent Variable Network Models
Transfer Learning for Latent Variable Network Models
Akhil Jalan
Arya Mazumdar
Soumendu Sundar Mukherjee
Purnamrita Sarkar
38
1
0
05 Jun 2024
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
Rheeya Uppaal
Apratim De
Yiting He
Yiquao Zhong
Junjie Hu
29
7
0
22 May 2024
Concentration properties of fractional posterior in 1-bit matrix
  completion
Concentration properties of fractional posterior in 1-bit matrix completion
The Tien Mai
33
3
0
13 Apr 2024
Graph data augmentation with Gromow-Wasserstein Barycenters
Graph data augmentation with Gromow-Wasserstein Barycenters
Andrea Ponti
30
0
0
12 Apr 2024
Doubly Robust Inference in Causal Latent Factor Models
Doubly Robust Inference in Causal Latent Factor Models
Alberto Abadie
Anish Agarwal
Raaz Dwivedi
Abhin Shah
CML
OOD
27
2
0
18 Feb 2024
Hybrid of node and link communities for graphon estimation
Hybrid of node and link communities for graphon estimation
Arthur Verdeyme
S. Olhede
20
1
0
10 Jan 2024
Misclassification excess risk bounds for 1-bit matrix completion
Misclassification excess risk bounds for 1-bit matrix completion
The Tien Mai
14
0
0
20 Dec 2023
Detection of Model-based Planted Pseudo-cliques in Random Dot Product
  Graphs by the Adjacency Spectral Embedding and the Graph Encoder Embedding
Detection of Model-based Planted Pseudo-cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder Embedding
Tong Qi
V. Lyzinski
13
0
0
18 Dec 2023
Hyperbolic Network Latent Space Model with Learnable Curvature
Hyperbolic Network Latent Space Model with Learnable Curvature
Jinming Li
Gongjun Xu
Ji Zhu
17
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0
08 Dec 2023
Self-supervision meets kernel graph neural models: From architecture to
  augmentations
Self-supervision meets kernel graph neural models: From architecture to augmentations
Jiawang Dan
Ruofan Wu
Yunpeng Liu
Baokun Wang
Changhua Meng
...
Tianyi Zhang
Ningtao Wang
Xin Fu
Qi Li
Weiqiang Wang
SSL
31
1
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17 Oct 2023
Semiparametric Modeling and Analysis for Longitudinal Network Data
Semiparametric Modeling and Analysis for Longitudinal Network Data
Yinqiu He
Jiajin Sun
Yuang Tian
Z. Ying
Yang Feng
35
1
0
23 Aug 2023
Nested stochastic block model for simultaneously clustering networks and nodes
Nested stochastic block model for simultaneously clustering networks and nodes
Nathaniel Josephs
Arash A. Amini
M. Paez
Lizhen Lin
30
4
0
18 Jul 2023
Conformal link prediction for false discovery rate control
Conformal link prediction for false discovery rate control
Ariane Marandon
18
8
0
26 Jun 2023
What functions can Graph Neural Networks compute on random graphs? The
  role of Positional Encoding
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding
Nicolas Keriven
Samuel Vaiter
31
11
0
24 May 2023
Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern
Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern
Meijia Shao
Yuan Zhang
18
6
0
19 May 2023
Synthetic Combinations: A Causal Inference Framework for Combinatorial
  Interventions
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
Abhineet Agarwal
Anish Agarwal
Suhas Vijaykumar
CML
11
8
0
24 Mar 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in
  heteroskedastic PCA
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA
Yuchen Zhou
Yuxin Chen
38
4
0
10 Mar 2023
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
G. Chan
Tianxi Li
EgoV
16
1
0
09 Mar 2023
Matrix Estimation for Individual Fairness
Matrix Estimation for Individual Fairness
Cindy Y. Zhang
Sarah H. Cen
Devavrat Shah
FaML
23
4
0
04 Feb 2023
Entropy of Exchangeable Random Graphs
Entropy of Exchangeable Random Graphs
Anda Skeja
S. Olhede
18
0
0
03 Feb 2023
A Generalized Latent Factor Model Approach to Mixed-data Matrix
  Completion with Entrywise Consistency
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency
Yunxiao Chen
Xiaoou Li
19
0
0
17 Nov 2022
Implicit Graphon Neural Representation
Implicit Graphon Neural Representation
Xinyue Xia
Gal Mishne
Yusu Wang
GNN
AI4CE
32
4
0
07 Nov 2022
Network Synthetic Interventions: A Causal Framework for Panel Data Under
  Network Interference
Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference
Anish Agarwal
Sarah H. Cen
Devavrat Shah
Christina Lee Yu
CML
16
5
0
20 Oct 2022
Factorized Fusion Shrinkage for Dynamic Relational Data
Factorized Fusion Shrinkage for Dynamic Relational Data
Penghui Zhao
A. Bhattacharya
D. Pati
Bani Mallick
22
0
0
30 Sep 2022
Joint Network Topology Inference via a Shared Graphon Model
Joint Network Topology Inference via a Shared Graphon Model
Madeline Navarro
Santiago Segarra
43
10
0
17 Sep 2022
Lost in the Shuffle: Testing Power in the Presence of Errorful Network
  Vertex Labels
Lost in the Shuffle: Testing Power in the Presence of Errorful Network Vertex Labels
Ayushi R. Saxena
V. Lyzinski
21
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18 Aug 2022
Dynamic Ranking and Translation Synchronization
Dynamic Ranking and Translation Synchronization
E. Araya
Eglantine Karlé
Hemant Tyagi
30
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On the Limitations of Elo: Real-World Games, are Transitive, not
  Additive
On the Limitations of Elo: Real-World Games, are Transitive, not Additive
Quentin Bertrand
Wojciech M. Czarnecki
Gauthier Gidel
11
22
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21 Jun 2022
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of
  Source Embeddings
Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings
Danushka Bollegala
SSL
16
4
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Random Geometric Graph: Some recent developments and perspectives
Random Geometric Graph: Some recent developments and perspectives
Quentin Duchemin
Yohann De Castro
8
15
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29 Mar 2022
Algorithmic Regularization in Model-free Overparametrized Asymmetric
  Matrix Factorization
Algorithmic Regularization in Model-free Overparametrized Asymmetric Matrix Factorization
Liwei Jiang
Yudong Chen
Lijun Ding
31
26
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Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
Hao He
Kaiwen Zha
Dina Katabi
AAML
26
32
0
22 Feb 2022
G-Mixup: Graph Data Augmentation for Graph Classification
G-Mixup: Graph Data Augmentation for Graph Classification
Xiaotian Han
Zhimeng Jiang
Ninghao Liu
Xia Hu
19
192
0
15 Feb 2022
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