← Core Methods
Machine Learning › Core Methods ›

Matrix Factorization

383 directly classified papers

Papers per year

Papers

Convex Hull Convolutive Non-Negative Matrix Factorization for Uncovering Temporal Patterns in Multivariate Time-Series Data INTERSPEECH 2016
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network ACML 2016
Distributed Representations for Building Profiles of Users and Items from Text Reviews COLING 2016
A posteriori error bounds for joint matrix decomposition problems NIPS 2016
Structured Matrix Recovery via the Generalized Dantzig Selector NIPS 2016
Data Poisoning Attacks on Factorization-Based Collaborative Filtering NIPS 2016
Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction NIPS 2016
Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit ICML 2016
Boolean Matrix Factorization and Noisy Completion via Message Passing ICML 2016
A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling ICML 2016
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016
Jointly Optimizing Activation Coefficients of Convolutive NMF Using DNN for Speech Separation INTERSPEECH 2016
Preference Completion from Partial Rankings NIPS 2016
Deconvolving Feedback Loops in Recommender Systems NIPS 2016
Distributed Flexible Nonlinear Tensor Factorization NIPS 2016
Discriminative Layered Nonnegative Matrix Factorization for Speech Separation INTERSPEECH 2016
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing NIPS 2016
Probabilistic Low-Rank Matrix Completion from Quantized Measurements JMLR 2016
Bootstrap-Based Regularization for Low-Rank Matrix Estimation JMLR 2016
Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis JMLR 2016
Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016
Efficient Large-Scale Similarity Search Using Matrix Factorization CVPR 2016
Robust Tensor Factorization With Unknown Noise CVPR 2016
Trust No One: Low Rank Matrix Factorization Using Hierarchical RANSAC CVPR 2016
Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees ACML 2016