Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Sparse Spectrum Gaussian Process Regression
Approximation methods for gaussian process regression
GPflow: A Gaussian process library using TensorFlow
Stochastic Differential Equation Methods for Spatio-Temporal Gaussian Process Regression
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
Deep Gaussian Processes with Convolutional Kernels
Computationally Efficient Bayesian Learning of Gaussian Process State Space Models
Deep Gaussian Process Regression ( DGPR )
Bayesian Online Multitask Learning of Gaussian Processes
Model Learning with Local Gaussian Process Regression
Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes
Gaussian Process Optimization with Mutual Information
Learning Gaussian process kernels via hierarchical Bayes
Sparse inverse covariance estimation with the graphical lasso
Parameter space exploration with Gaussian process trees
Differentially Private Regression with Gaussian Processes
Learning for larger datasets with the Gaussian process latent variable model
Gaussian Processes for Ordinal Regression
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Semi-supervised Learning via Gaussian Processes
Twin Gaussian Processes for Structured Prediction
Alpha and the History of Digital Compositing
Gaussian Processes for Regression
Relation Schema Induction using Tensor Factorization with Side Information
Control techniques for power factor correction converters
Data Distillation: Towards Omni-Supervised Learning