Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Gaussian Processes for Classification: Mean-Field Algorithms
Bayesian classification with Gaussian processes
Deep Gaussian Processes for Regression using Approximate Expectation Propagation
Gaussian Process Optimization with Mutual Information
Learning Gaussian processes from multiple tasks
Bayesian Multitask Classification With Gaussian Process Priors
Thoughts on Massively Scalable Gaussian Processes
Gaussian Processes for Big Data
Gaussian Process Networks
Flexible and efficient Gaussian process models for machine learning
Deep Neural Networks as Gaussian Processes
Gaussian mixture models and the EM algorithm
Semi-supervised Learning via Gaussian Processes
Gaussian Processes Over Graphs
Learning Gaussian process kernels via hierarchical Bayes
Fast hierarchical Gaussian processes
On Approximate Inference for Generalized Gaussian Process Models
Learning Gaussian Networks
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
Bayesian Online Multitask Learning of Gaussian Processes
The Infinite Gaussian Mixture Model
A Reinforcement Learning Approach to Job-shop Scheduling
A Practical Bayesian Framework for Backpropagation Networks
Modern practical application and research on teleoperated excavators control, feedback and perception issues in post disaster recovery operation
High-Speed FPGA Implementation of Secure Hash Algorithm for IPSec and VPN Applications
Basic protocols in quantum reinforcement learning with superconducting circuits