Co-occurring keywords · papers mentioning both
Papers
Sparse Orthogonal Variational Inference for Gaussian Processes
AISTATS 2020
Stochastic Deep Gaussian Processes over Graphs
NeurIPS 2020
Deep Gaussian Processes with Importance-Weighted Variational Inference
ICML 2019
Implicit Posterior Variational Inference for Deep Gaussian Processes
NeurIPS 2019
Semi-Supervised Prosody Modeling Using Deep Gaussian Process Latent Variable Model
Interspeech 2019
Assessing Quality Estimation Models for Sentence-Level Prediction
COLING 2018
How Deep Are Deep Gaussian Processes?
JMLR 2018
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo
NeurIPS 2018
Doubly Stochastic Variational Inference for Deep Gaussian Processes
NeurIPS 2017
Random Feature Expansions for Deep Gaussian Processes
ICML 2017
Deep Gaussian Processes for Regression using Approximate Expectation Propagation
ICML 2016
Sequential Inference for Deep Gaussian Process
AISTATS 2016
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors
ICML 2016
Asymmetric Transfer Learning with Deep Gaussian Processes
ICML 2015
Avoiding pathologies in very deep networks
AISTATS 2014
Deep Gaussian Processes
AISTATS 2013