Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares

9 October 2014

Papers citing "Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares"

50 / 149 papers shown

Title
CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation Aditya Gorla Ryan Wang Zhengtong Liu Ulzee An Sriram Sankararaman 20 0 0 02 Jun 2025
Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches Alexandre Hippert-Ferrer Aude Sportisse A. Javaheri Mohammed Nabil El Korso Daniel P. Palomar AI4TS 50 0 0 02 Jun 2025
Optimal Transport with Heterogeneously Missing Data Linus Bleistein Aurélien Bellet Julie Josse OT 73 0 0 22 May 2025
Adaptively-weighted Nearest Neighbors for Matrix Completion Tathagata Sadhukhan Manit Paul Raaz Dwivedi 52 1 0 14 May 2025
Low Rank Learning for Offline Query Optimization Zixuan Yi Yao Tian Z. Ives Ryan Marcus OffRL 62 1 0 08 Apr 2025
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries Chris Kolb T. Weber Bernd Bischl David Rügamer 353 1 0 04 Feb 2025
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph Zhaoyang Zhang Hongtu Zhu Ziqi Chen Yingjie Zhang Hai Shu 98 0 0 07 Nov 2024
Low-rank Bayesian matrix completion via geodesic Hamiltonian Monte Carlo on Stiefel manifolds Tiangang Cui Alex Gorodetsky 33 0 0 27 Oct 2024
Learning Counterfactual Distributions via Kernel Nearest Neighbors Kyuseong Choi Jacob Feitelberg Anish Agarwal Raaz Dwivedi OOD OffRL 436 1 0 17 Oct 2024
Scalable likelihood-based estimation and variable selection for the Cox model with incomplete covariates Ngok Sang Kwok Kin Yau Wong 24 0 0 15 Oct 2024
On subdifferential chain rule of matrix factorization and beyond Jiewen Guan Anthony Man-Cho So AI4CE 73 1 0 07 Oct 2024
Unmasking Trees for Tabular Data Calvin McCarter 88 3 0 08 Jul 2024
On Speeding Up Language Model Evaluation Jin Peng Zhou Christian K. Belardi Ruihan Wu Travis Zhang Carla P. Gomes Wen Sun Kilian Q. Weinberger 138 2 0 08 Jul 2024
Explainability of Machine Learning Models under Missing Data Tuan L. Vo T. Nguyen Hugo Lewi Hammer Michael A. Riegler Pål Halvorsen Pal Halvorsen 139 3 0 29 Jun 2024
Reweighted Solutions for Weighted Low Rank Approximation David P. Woodruff T. Yasuda 63 1 0 04 Jun 2024
Gradient Guided Hypotheses: A unified solution to enable machine learning models on scarce and noisy data regimes Paulo Neves Joerg K. Wegner Philippe Schwaller 44 0 0 29 May 2024
RE-RecSys: An End-to-End system for recommending properties in Real-Estate domain Venkatesh C Harshit Oberoi Anil Goyal Nikhil Sikka 21 3 0 25 Apr 2024
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information Shujie Ma Po-Yao Niu Yichong Zhang Yinchu Zhu 48 4 0 22 Mar 2024
BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data Qiao Han Mingqian Li Yao Yang Yiteng Zhai 61 0 0 29 Feb 2024
Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models Alvaro Ribot C. Squires Caroline Uhler 76 2 0 22 Feb 2024
Asymptotic Dynamics of Alternating Minimization for Bilinear Regression Koki Okajima Takashi Takahashi 40 0 0 07 Feb 2024
Adversarial Learning for Feature Shift Detection and Correction Míriam Barrabés D. M. Montserrat Margarita Geleta Xavier Giró-i-Nieto A. Ioannidis OOD 73 4 0 07 Dec 2023
Imputation using training labels and classification via label imputation Thu Nguyen Tuan L. Vo Pål Halvorsen Michael A. Riegler 91 0 0 28 Nov 2023
ReMasker: Imputing Tabular Data with Masked Autoencoding Tianyu Du Luca Melis Ting Wang 58 19 0 25 Sep 2023
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees Alexia Jolicoeur-Martineau Kilian Fatras Tal Kachman 85 40 0 18 Sep 2023
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective Laixin Xie Ouyang Yang Long-fei Chen Ziming Wu Quan Li 48 0 0 18 Sep 2023
Recursive Video Lane Detection Dongkwon Jin Dahyun Kim Chang-Su Kim 70 9 0 22 Aug 2023
Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Density Approach F. Lalande Kenji Doya 121 4 0 29 Jun 2023
Graph-Based Matrix Completion Applied to Weather Data Benoît Loucheur P.-A. Absil M. Journée 27 1 0 14 Jun 2023
AmGCL: Feature Imputation of Attribute Missing Graph via Self-supervised Contrastive Learning Xiaochuan Zhang Mengran Li Ye Wang Haojun Fei 54 2 0 05 May 2023
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information Zhiwei Wang Fa Zhang Conghui Zheng Xianghong Hu Mingxuan Cai Can Yang 29 1 0 05 Mar 2023
Transformed Distribution Matching for Missing Value Imputation He Zhao Ke Sun Amir Dezfouli Edwin V. Bonilla 87 21 0 20 Feb 2023
Conditional expectation with regularization for missing data imputation Mai Anh Vu Thu Nguyen Tu T. Do Nhan Phan Nitesh V. Chawla Pål Halvorsen Michael A. Riegler Binh Duc Nguyen 109 2 0 02 Feb 2023
Population-wise Labeling of Sulcal Graphs using Multi-graph Matching R. Yadav François-Xavier Dupé S. Takerkart G. Auzias 43 2 0 31 Jan 2023
Interactive Learning with Pricing for Optimal and Stable Allocations in Markets Yigit Efe Erginbas Soham R. Phade Kannan Ramchandran 111 1 0 13 Dec 2022
Data Imputation with Iterative Graph Reconstruction J. Zhong Weiwei Ye Ning Gui 47 13 0 06 Dec 2022
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder Zi-Chao Gao Yifan Niu Jiashun Cheng Jianheng Tang Tingyang Xu P. Zhao Lanqing Li Fugee Tsung Jia Li 119 13 0 30 Nov 2022
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data Zongyu Dai Zhiqi Bu Q. Long 63 4 0 23 Nov 2022
Numerical Optimizations for Weighted Low-rank Estimation on Language Model Ting Hua Yen-Chang Hsu Felicity Wang Qiang Lou Yilin Shen Hongxia Jin 68 15 0 02 Nov 2022
Adaptive greedy forward variable selection for linear regression models with incomplete data using multiple imputation Yong-Shiuan Lee 18 0 0 20 Oct 2022
Large covariance matrix estimation via penalized log-det heuristics E. Bernardi M. Farné 40 0 0 11 Sep 2022
Detecting Concept Drift in the Presence of Sparsity -- A Case Study of Automated Change Risk Assessment System Vishwas Choudhary Binay Gupta Anirban Chatterjee Subhadip Paul Kunal Banerjee Vijay Srinivas Agneeswaran 54 2 0 27 Jul 2022
Variational Bayesian inference for CP tensor completion with side information S. Budzinskiy N. Zamarashkin 47 2 0 24 Jun 2022
Introducing the Huber mechanism for differentially private low-rank matrix completion R. Gowtham Gokularam M Thulasi Tholeti Sheetal Kalyani 45 0 0 16 Jun 2022
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection Daniel Jarrett B. Cebere Tennison Liu Alicia Curth M. Schaar 56 78 0 15 Jun 2022
Principal Component Analysis based frameworks for efficient missing data imputation algorithms Thu Nguyen Hoang Thien Ly Michael Alexander Riegler Paal Halvorsen Hugo Lewi Hammer 32 4 0 30 May 2022
Smooth over-parameterized solvers for non-smooth structured optimization C. Poon Gabriel Peyré 99 19 0 03 May 2022
Randomly Initialized Alternating Least Squares: Fast Convergence for Matrix Sensing Kiryung Lee Dominik Stöger 65 11 0 25 Apr 2022
Splitting numerical integration for matrix completion Qianqian Song 36 0 0 14 Feb 2022
Collaborative Learning in General Graphs with Limited Memorization: Complexity, Learnability, and Reliability Feng Li Xuyang Yuan Lina Wang Huan Yang Dongxiao Yu Weifeng Lv Xiuzhen Cheng 30 4 0 29 Jan 2022