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Gaussian Processes

568 directly classified papers

Papers per year

Papers

A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos CVPR 2018
How Deep Are Deep Gaussian Processes? JMLR 2018
Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes JMLR 2018
Bayesian Alignments of Warped Multi-Output Gaussian Processes NIPS 2018
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments NIPS 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NIPS 2018
Algorithmic Linearly Constrained Gaussian Processes NIPS 2018
Safe Active Learning for Time-Series Modeling with Gaussian Processes NIPS 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes NIPS 2018
Gaussian Process Prior Variational Autoencoders NIPS 2018
Wrapped Gaussian Process Regression on Riemannian Manifolds CVPR 2018
Gaussian Process Neural Networks for Speech Recognition INTERSPEECH 2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification NIPS 2018
Infinite-Horizon Gaussian Processes NIPS 2018
Scaling Gaussian Process Regression with Derivatives NIPS 2018
Heterogeneous Multi-output Gaussian Process Prediction NIPS 2018
Learning a latent manifold of odor representations from neural responses in piriform cortex NIPS 2018
Differentiable Compositional Kernel Learning for Gaussian Processes ICML 2018
Constant-Time Predictive Distributions for Gaussian Processes ICML 2018
Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches ICML 2018
State Space Gaussian Processes with Non-Gaussian Likelihood ICML 2018
Large-Scale Cox Process Inference using Variational Fourier Features ICML 2018
Inferring Latent Velocities from Weather Radar Data using Gaussian Processes NIPS 2018
Variational Learning on Aggregate Outputs with Gaussian Processes NIPS 2018
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds NIPS 2018