Papers citing 'Matrix estimation by Universal Singular Value Thresholding'

Title
Estimating Graph Dimension with Cross-validated Eigenvalues Fan Chen S. Roch Karl Rohe Shuqi Yu 168 15 0 24 Dec 2025
Hypothesis Testing for Generalized Thurstone ModelsInternational Conference on Machine Learning (ICML), 2025 A. Makur Japneet Singh 104 2 0 02 Dec 2025
Near-optimal Rank Adaptive Inference of High Dimensional Matrices Frédéric Zheng Yassir Jedra Alexandre Proutiere 102 0 0 09 Oct 2025
Transfer Learning on Edge Connecting Probability Estimation under Graphon Model Yuyao Wang Yu-Hung Cheng Debarghya Mukherjee Huimin Cheng 125 0 0 07 Oct 2025
From Moments to Models: Graphon Mixture-Aware Mixup and Contrastive Learning Ali Azizpour Reza Ramezanpour A. Sabharwal Santiago Segarra 186 0 0 04 Oct 2025
TabImpute: Accurate and Fast Zero-Shot Missing-Data Imputation with a Pre-Trained Transformer Jacob Feitelberg Dwaipayan Saha Kyuseong Choi Zaid Ahmad Anish Agarwal Raaz Dwivedi 137 0 0 03 Oct 2025
Integrated Analysis for Electronic Health Records with Structured and Sporadic MissingnessJournal of Biomedical Informatics (JBI), 2025 Jianbin Tan Yan Zhang C. Hong Tianrun Cai T. Cai Anru R. Zhang 154 0 0 10 Jun 2025
A Few Moments Please: Scalable Graphon Learning via Moment Matching Reza Ramezanpour Victor M. Tenorio A. Marques A. Sabharwal Santiago Segarra 152 1 0 04 Jun 2025
Asymptotically perfect seeded graph matching without edge correlation (and applications to inference) Tong Qi Vera Andersson Peter Viechnicki V. Lyzinski 243 0 0 03 Jun 2025
Risk Bounds For Distributional Regression Carlos Misael Madrid Padilla Oscar Hernan Madrid Padilla S. Chatterjee 275 1 0 14 May 2025
Adaptively-weighted Nearest Neighbors for Matrix Completion Tathagata Sadhukhan Manit Paul Raaz Dwivedi 187 1 0 14 May 2025
Low-Rank Graphon Estimation: Theory and Applications to Graphon Games Olga Klopp Fedor Noskov 279 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 885 2 0 28 Feb 2025
Explaining the Success of Nearest Neighbor Methods in Prediction George H. Chen Devavrat Shah OOD 857 153 0 21 Feb 2025
Pairwise Comparisons without Stochastic Transitivity: Model, Theory and Applications Sze Ming Lee Yunxiao Chen 235 1 0 13 Jan 2025
Exploiting Observation Bias to Improve Matrix Completion Yassir Jedra Sean Mann Charlotte Park Devavrat Shah 656 1 0 03 Jan 2025
Statistical inference of a ranked community in a directed graphSymposium on the Theory of Computing (STOC), 2024 Dmitriy Kunisky Daniel A. Spielman Alexander S. Wein Xifan Yu 179 1 0 18 Nov 2024
Scalable Implicit Graphon LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Ali Azizpour Nicolas Zilberstein Santiago Segarra GNN 301 4 0 22 Oct 2024
Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space Jacob Feitelberg Kyuseong Choi Anish Agarwal Raaz Dwivedi OffRL 294 2 0 17 Oct 2024
Learning Counterfactual Distributions via Kernel Nearest Neighbors Kyuseong Choi Jacob Feitelberg Caleb Chin Anish Agarwal Raaz Dwivedi OOD OffRL 743 1 0 17 Oct 2024
Minimax Optimal Probability Matrix Estimation For Graphon With Spectral DecayElectronic Journal of Statistics (EJS), 2024 Yuchen Chen Jing Lei 232 0 0 01 Oct 2024
Optimizing the Induced Correlation in Omnibus Joint Graph Embeddings Konstantinos Pantazis M. Trosset W. Frost Carey E. Priebe V. Lyzinski 203 1 0 26 Sep 2024
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 308 2 0 31 Jul 2024
Estimating the number of clusters of a Block Markov Chain T. Vuren Thomas Cronk Jaron Sanders 269 2 0 25 Jul 2024
Learning Joint and Individual Structure in Network Data with Covariates Carson James Dongbang Yuan Irina Gaynanova Jesús Arroyo CML 189 2 0 13 Jun 2024
Symmetric Matrix Completion with ReLU SamplingInternational Conference on Machine Learning (ICML), 2024 Huikang Liu Peng Wang Longxiu Huang Qing Qu Laura Balzano 149 4 0 09 Jun 2024
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation Can Yaras Peng Wang Laura Balzano Qing Qu AI4CE 230 23 0 06 Jun 2024
Transfer Learning for Latent Variable Network Models Akhil Jalan Arya Mazumdar Soumendu Sundar Mukherjee Purnamrita Sarkar 341 3 0 05 Jun 2024
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 519 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 176 7 0 13 Apr 2024
Graph data augmentation with Gromow-Wasserstein Barycenters Andrea Ponti 149 0 0 12 Apr 2024
Doubly Robust Inference in Causal Latent Factor Models Alberto Abadie Anish Agarwal Raaz Dwivedi Abhin Shah CML OOD 177 6 0 18 Feb 2024
Hybrid of node and link communities for graphon estimation Arthur Verdeyme S. Olhede 260 1 0 10 Jan 2024
Misclassification excess risk bounds for 1-bit matrix completion The Tien Mai 148 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 Tong Qi V. Lyzinski 204 1 0 18 Dec 2023
Hyperbolic Network Latent Space Model with Learnable Curvature Jinming Li Gongjun Xu Ji Zhu 169 1 0 08 Dec 2023
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 170 1 0 17 Oct 2023
Semiparametric Modeling and Analysis for Longitudinal Network Data Yinqiu He Jiajin Sun Yuang Tian Z. Ying Yang Feng 209 2 0 23 Aug 2023
Nested stochastic block model for simultaneously clustering networks and nodes Nathaniel Josephs Arash A. Amini M. Paez Lizhen Lin 249 5 0 18 Jul 2023
Conformal link prediction for false discovery rate controlTest (Madrid) (TM), 2023 Ariane Marandon 376 12 0 26 Jun 2023
What functions can Graph Neural Networks compute on random graphs? The role of Positional EncodingNeural Information Processing Systems (NeurIPS), 2023 Nicolas Keriven Samuel Vaiter 238 16 0 24 May 2023
Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern Meijia Shao Yuan Zhang 321 8 0 19 May 2023
Synthetic Combinations: A Causal Inference Framework for Combinatorial InterventionsNeural Information Processing Systems (NeurIPS), 2023 Abhineet Agarwal Anish Agarwal Suhas Vijaykumar CML 292 9 0 24 Mar 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCAAnnals of Statistics (Ann. Stat.), 2023 Yuchen Zhou Yuxin Chen 268 7 0 10 Mar 2023
Fitting Low-rank Models on Egocentrically Sampled Partial NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 G. Chan Tianxi Li EgoV 208 1 0 09 Mar 2023
Matrix Estimation for Individual FairnessInternational Conference on Machine Learning (ICML), 2023 Cindy Y. Zhang Sarah H. Cen Devavrat Shah FaML 352 4 0 04 Feb 2023
Entropy of Exchangeable Random Graphs Anda Skeja S. Olhede 317 0 0 03 Feb 2023
A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency Yunxiao Chen Xiaoou Li 162 1 0 17 Nov 2022
Implicit Graphon Neural RepresentationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Xinyue Xia Zhengchao Wan Yusu Wang GNN AI4CE 265 12 0 07 Nov 2022
Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference Anish Agarwal Sarah H. Cen Devavrat Shah Christina Lee Yu CML 318 5 0 20 Oct 2022