latent variable model

Clustered factor analysis of multineuronal spike data NeurIPS 2014 Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NeurIPS 2014 Estimating Latent-Variable Graphical Models using Moments and Likelihoods ICML 2014 Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014 Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NeurIPS 2014 Latent Dictionary Learning for Sparse Representation based Classification CVPR 2014 Latent Semantic Representation Learning for Scene Classification ICML 2014 Learning Latent Variable Gaussian Graphical Models ICML 2014 Learning to Recognize Human Activities from Soft Labeled Data RSS 2014 Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison ICML 2014 Modeling Correlated Arrival Events with Latent Semi-Markov Processes ICML 2014 Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs RSS 2014 Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014 Parallel Sampling of HDPs using Sub-Cluster Splits NeurIPS 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 Reducing the Rank in Relational Factorization Models by Including Observable Patterns NeurIPS 2014 Scaling Nonparametric Bayesian Inference via Subsample-Annealing AISTATS 2014 Sensory Integration and Density Estimation NeurIPS 2014 Tensor Decompositions for Learning Latent Variable Models JMLR 2014 Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability COLT 2014 A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data NeurIPS 2013 An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation ICML 2013 Approximate Gaussian process inference for the drift function in stochastic differential equations NeurIPS 2013 A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NeurIPS 2013 Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid CVPR 2013