Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
A unifying view of sparse approximate Gaussian process regression
Variational Bayesian Inference : Algorithms for Sparse Gaussian Processes and Theoretical Bounds
Heteroscedastic Gaussian process regression
Most likely heteroscedastic Gaussian process regression
On Approximate Inference for Generalized Gaussian Process Models
GPstuff: Bayesian modeling with Gaussian processes
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification
Sparse Gaussian Processes for Multi-task Learning
Variational learning of inducing variables in sparse Gaussian processes
Scalable Kernel Methods via Doubly Stochastic Gradients
Deep Gaussian Processes for Regression using Approximate Expectation Propagation
FALKON: An Optimal Large Scale Kernel Method
Student-t Processes as Alternatives to Gaussian Processes
Gaussian Process Optimization with Mutual Information
Bayesian Gaussian Process Models: PAC-Bayesian Generalisation Error Bounds and Sparse Approximations
Modelling Smooth Paths Using Gaussian Processes
Dataflow Acceleration of scikit-learn Gaussian Process Regression
Bayesian Warped Gaussian Processes
Automated Variational Inference for Gaussian Process Models
Gaussian predictive process models for large spatial data sets
Workspace Analysis of a Linear Delta Robot: Calculating the Inscribed Radius
Design and application of an active suspension system on a 6 DOF half vehicle model
smoothing noisy data with spline functions * .
An improved MPPT method for quasi-Z-source inverter based grid-connected photovoltaic power system
Using Test-Driven Development in the Classroom: Providing Students with Automatic, Concrete Feedback on Performance