Co-occurring keywords · papers mentioning both
Papers
Scalable Variational Gaussian Process Classification
AISTATS 2015
Variational Inference for Gaussian Process Modulated Poisson Processes
ICML 2015
Fast Kernel Learning for Multidimensional Pattern Extrapolation
NeurIPS 2014
Scalable Variational Bayesian Matrix Factorization with Side Information
AISTATS 2014
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks
NeurIPS 2013
Scalable Inference for Logistic-Normal Topic Models
NeurIPS 2013
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks
NeurIPS 2012
Scalable Inference on Kingman’s Coalescent using Pair Similarity
AISTATS 2012