conftrace_

latent factor model

50 papers

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Also known as

LFM

Co-occurring keywords

recommender system (534) collaborative filtering (300) matrix factorization (529) latent factor (49) bayesian inference (1907) variational inference (2069) bayesian nonparametrics (270) indian buffet process (40) probabilistic modeling (852) factor analysis (62)

Papers

Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval IJCAI 2018
oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis ICML 2018
Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems IJCAI 2017
Symmetric Non-negative Latent Factor Models for Undirected Large Networks IJCAI 2017
Tied Variational Autoencoder Backends for i-Vector Speaker Recognition INTERSPEECH 2017
Scalable Generative Models for Multi-label Learning with Missing Labels ICML 2017
Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness IJCAI 2017
Collaborative Recurrent Neural Networks for Dynamic Recommender Systems ACML 2016
Bayesian group factor analysis with structured sparsity JMLR 2016
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process ICML 2015
Bayesian Nonparametric Covariance Regression JMLR 2015
High-dimensional neural spike train analysis with generalized count linear dynamical systems NIPS 2015
A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014
Polya-gamma augmentations for factor models ACML 2014
Deep content-based music recommendation NIPS 2013
A Coupled Indian Buffet Process Model for Collaborative Filtering ACML 2012
Learning the Dependency Structure of Latent Factors NIPS 2012
Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NIPS 2012
A latent factor model for highly multi-relational data NIPS 2012
Factor Modeling for Advertisement Targeting NIPS 2009
Variational Gaussian-process factor analysis for modeling spatio-temporal data NIPS 2009
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NIPS 2009
Probabilistic Matrix Factorization NIPS 2007
Modeling Dyadic Data with Binary Latent Factors NIPS 2006
Learning Parts-Based Representations of Data JMLR 2006