Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: When Gaussian Process Meets Big Data: A Review of Scalable GPs
A unifying view of sparse approximate Gaussian process regression
Gaussian Process Networks
Forecasting of Commercial Sales with Large Scale Gaussian Processes
Multi-task Gaussian Process Prediction
laGP: Large-Scale Spatial Modeling via Local Approximate Gaussian Processes in R
Fast Bayesian inference for nonconjugate Gaussian process regression
Approximation methods for gaussian process regression
Warped Gaussian Processes
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Learning Gaussian process kernels via hierarchical Bayes
Dataflow Acceleration of scikit-learn Gaussian Process Regression
PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions
Prediction With Gaussian Processes: From Linear Regression To Linear Prediction And Beyond
Computationally efficient convolved multiple output gaussian processes
Bayesian Online Multitask Learning of Gaussian Processes
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models
Heteroscedastic Gaussian process regression
Convolutional Gaussian Processes
Manifold Gaussian Processes for regression
Important developments for the digital library: Data Ocean and Smart Library
Employment of Diode Laser in the Treatment of Epulis Fissuratum. Case Report
Result Analysis of the NIPS 2003 Feature Selection Challenge
Tuning software phase-locked loop for series-connected converters
Context-aware support for computer-supported ubiquitous learning