Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Infinite latent feature models and the Indian buffet process
The Infinite Gaussian Mixture Model
A Spectral Algorithm for Latent Dirichlet Allocation
Variational inference in graphical models: The view from the marginal polytope
Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression
Recursive unsupervised learning of finite mixture models
Collapsed Variational Dirichlet Process Mixture Models
Inducing Features of Random Fields
Online learning for latent dirichlet allocation
Nonparametric Poisson Factorization Machine
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Latent Dirichlet Allocation
Probabilistic Latent-Factor Database Models
Learning the Parameters of Determinantal Point Process Kernels
dynamic non - parametric mixture models and the recurrent chinese restaurant process : with applications to evolutionary clustering .
Conditional random fields: An introduction
Bayesian Learning with Dependency Structures via Latent Factors, Mixtures, and Copulas
Markov Determinantal Point Processes
A segmented topic model based on the two-parameter Poisson-Dirichlet process
A Taxonomy of Domain-Specific Aspect Languages
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
Light Chain Amyloidosis
Digitizing paper forms with mobile imaging technologies
BAYESIAN LEARNING FOR NEURAL NETWORKS