Generalized Low Rank Models

1 October 2014

Papers citing "Generalized Low Rank Models"

37 / 37 papers shown

Title
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning Hanwen Zhong Jiaxin Chen Yutong Zhang Di Huang Yunhong Wang MoE 44 0 0 12 Jan 2025
Matrix Low-Rank Trust Region Policy Optimization Sergio Rozada Antonio G. Marques 43 0 0 27 May 2024
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile Jérémie Bigot Issa-Mbenard Dabo Camille Male 31 4 0 29 Mar 2024
Algorithms for Boolean Matrix Factorization using Integer Programming Christos Kolomvakis A. Vandaele Nicolas Gillis 16 1 0 17 May 2023
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging Berk Iskender M. Klasky Y. Bresler 33 3 0 07 Apr 2023
Archetypal Analysis++: Rethinking the Initialization Strategy Sebastian Mair Jens Sjölund 18 1 0 31 Jan 2023
Sparse PCA With Multiple Components Ryan Cory-Wright J. Pauphilet 37 2 0 29 Sep 2022
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning Sergio Rozada Santiago Paternain A. Marques 58 13 0 21 Jan 2022
Fair and efficient contribution valuation for vertical federated learning Zhenan Fan Huang Fang Zirui Zhou Jian Pei M. Friedlander Yong Zhang TDI FedML 21 25 0 07 Jan 2022
$Asymptotics of $\ell_2$ Regularized Network Embeddings$ Asymptotics of $\ell_2$ Regularized Network Embeddings A. Davison 25 0 0 05 Jan 2022
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 62 137 0 09 Sep 2021
HePPCAT: Probabilistic PCA for Data with Heteroscedastic Noise David Hong Kyle Gilman Laura Balzano Jeffrey A. Fessler 40 19 0 10 Jan 2021
Deep matrix factorizations Pierre De Handschutter Nicolas Gillis Xavier Siebert BDL 28 40 0 01 Oct 2020
An Information-Theoretic Approach to Persistent Environment Monitoring Through Low Rank Model Based Planning and Prediction Elizabeth A. Ricci Madeleine Udell Ross A. Knepper 4 0 0 02 Sep 2020
Deconstructing and reconstructing word embedding algorithms Edward Newell Kian Kenyon-Dean Jackie C.K. Cheung 39 4 0 29 Nov 2019
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery Jicong Fan Lijun Ding Yudong Chen Madeleine Udell 14 69 0 13 Nov 2019
Implicit Deep Learning L. Ghaoui Fangda Gu Bertrand Travacca Armin Askari Alicia Y. Tsai AI4CE 34 176 0 17 Aug 2019
Neuroscience-inspired online unsupervised learning algorithms Cengiz Pehlevan D. Chklovskii 22 54 0 05 Aug 2019
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data Simao Eduardo A. Nazábal Christopher K. I. Williams Charles Sutton DRL 16 32 0 15 Jul 2019
Stochastic Gradients for Large-Scale Tensor Decomposition T. Kolda David Hong 28 56 0 04 Jun 2019
Determining Principal Component Cardinality through the Principle of Minimum Description Length A. Tavory 12 0 0 31 Dec 2018
Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization Alberto Lumbreras Louis Filstroff Cédric Févotte 20 15 0 17 Dec 2018
Unsupervised learning with GLRM feature selection reveals novel traumatic brain injury phenotypes A. Masino Kaitlin A. Folweiler 11 6 0 30 Nov 2018
XPCA: Extending PCA for a Combination of Discrete and Continuous Variables Clifford Anderson-Bergman T. Kolda Kina Kincher-Winoto 11 11 0 22 Aug 2018
Generalized Canonical Polyadic Tensor Decomposition David Hong T. Kolda J. Duersch 20 123 0 22 Aug 2018
Decentralized Dictionary Learning Over Time-Varying Digraphs Amir Daneshmand Ying Sun G. Scutari F. Facchinei Brian M. Sadler FedML 32 10 0 17 Aug 2018
Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex Hongyang R. Zhang Junru Shao Ruslan Salakhutdinov 36 14 0 06 Jun 2018
Causal Inference with Noisy and Missing Covariates via Matrix Factorization Nathan Kallus Xiaojie Mao Madeleine Udell CML 8 62 0 03 Jun 2018
Low-Rank Boolean Matrix Approximation by Integer Programming R. Kovacs Oktay Gunluk Raphael Andreas Hauser 15 3 0 13 Mar 2018
Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video Brian E. Moore Chen Gao R. Nadakuditi 42 38 0 18 Dec 2017
SILVar: Single Index Latent Variable Models Jonathan Mei José M. F. Moura 15 24 0 09 May 2017
Bayesian Optimization for Machine Learning : A Practical Guidebook Ian Dewancker M. McCourt Scott C. Clark 11 61 0 14 Dec 2016
Dynamic Assortment Personalization in High Dimensions Nathan Kallus Madeleine Udell 29 66 0 18 Oct 2016
Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization A. Vandaele Nicolas Gillis Qi Lei Kai Zhong Inderjit Dhillon 13 53 0 04 Sep 2015
Factorbird - a Parameter Server Approach to Distributed Matrix Factorization Sebastian Schelter Venu Satuluri R. Zadeh 24 36 0 03 Nov 2014
Convex Optimization in Julia Madeleine Udell Karanveer Mohan David Zeng Jenny Hong Steven Diamond Stephen P. Boyd 29 162 0 17 Oct 2014
Factoring nonnegative matrices with linear programs Victor Bittorf Benjamin Recht Christopher Ré J. Tropp 81 204 0 06 Jun 2012