Distributed Matrix Completion and Robust Factorization

5 July 2011

Papers citing "Distributed Matrix Completion and Robust Factorization"

22 / 22 papers shown

Title
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices Hengchao Chen Xiang Li Qiang Sun 17 1 0 24 Feb 2023
Implications of sparsity and high triangle density for graph representation learning Hannah Sansford Alexander Modell N. Whiteley Patrick Rubin-Delanchy 30 1 0 27 Oct 2022
Federated learning: Applications, challenges and future directions Subrato Bharati Hossain Mondal Prajoy Podder V. B. Surya Prasath FedML 44 53 0 18 May 2022
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation Chao Chen Dongsheng Li Junchi Yan Xiaokang Yang 19 15 0 02 Apr 2022
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation Chao Chen Haoyu Geng Nianzu Yang Junchi Yan Daiyue Xue Jianping Yu Xiaokang Yang HAI AI4TS 27 11 0 30 Mar 2022
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression Jingyi Zhang Xiaoxiao Sun 27 0 0 13 Jul 2021
Block based Singular Value Decomposition approach to matrix factorization for recommender systems Prasad Bhavana Vikas Kumar V. Padmanabhan 15 10 0 17 Jul 2019
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems Steffen Rendle Li Zhang Y. Koren 26 126 0 04 May 2019
BMF: Block matrix approach to factorization of large scale data Prasad Bhavana Vineet Nair 7 1 0 02 Jan 2019
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation Jundong Li Liang Wu Huan Liu 8 35 0 26 Aug 2018
Approximating Hamiltonian dynamics with the Nyström method Alessandro Rudi Leonard Wossnig C. Ciliberto Andrea Rocchetto Massimiliano Pontil Simone Severini 21 10 0 06 Apr 2018
A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm Wenjie Zheng A. Bellet Patrick Gallinari 28 19 0 20 Dec 2017
Parallelizing Spectral Algorithms for Kernel Learning Gilles Blanchard Nicole Mücke 30 15 0 24 Oct 2016
A Neural Autoregressive Approach to Collaborative Filtering Yin Zheng Bangsheng Tang Wenkui Ding Hanning Zhou BDL 21 223 0 31 May 2016
Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset T. Bouwmans A. Sobral S. Javed Soon Ki Jung E. Zahzah 39 330 0 04 Nov 2015
Randomized Robust Subspace Recovery for High Dimensional Data Matrices M. Rahmani George Atia 30 57 0 21 May 2015
TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries Evan R. Sparks Ameet Talwalkar Michael Franklin Michael I. Jordan Tim Kraska 34 25 0 31 Jan 2015
CUR Algorithm for Partially Observed Matrices Miao Xu Rong Jin Zhi-Hua Zhou 52 34 0 04 Nov 2014
Matrix Coherence and the Nystrom Method Ameet Talwalkar Afshin Rostamizadeh 96 88 0 09 Aug 2014
Language Modeling with Power Low Rank Ensembles Ankur P. Parikh Avneesh Singh Saluja Chris Dyer Eric Xing BDL MoE 29 9 0 26 Dec 2013
On statistics, computation and scalability Michael I. Jordan 40 109 0 30 Sep 2013
Distributed Low-rank Subspace Segmentation Ameet Talwalkar Lester W. Mackey Yadong Mu Shih-Fu Chang Michael I. Jordan 32 35 0 20 Apr 2013