conftrace_

gaussian process

1200 papers

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GP

Co-occurring keywords

variational inference (2069) bayesian optimization (624) bayesian inference (1907) uncertainty quantification (1393) kernel methods (1097) gaussian processes (89) regret bound (1926) active learning (1301) sparse approximation (76) hyperparameter optimization (406)

Papers

Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds NIPS 2018
Heterogeneous Multi-output Gaussian Process Prediction NIPS 2018
Gaussian Process Prior Variational Autoencoders NIPS 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes NIPS 2018
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments NIPS 2018
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces NIPS 2018
Transfer of Value Functions via Variational Methods NIPS 2018
Learning a latent manifold of odor representations from neural responses in piriform cortex NIPS 2018
Inferring Latent Velocities from Weather Radar Data using Gaussian Processes NIPS 2018
Variational Learning on Aggregate Outputs with Gaussian Processes NIPS 2018
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration NIPS 2018
Bayesian Alignments of Warped Multi-Output Gaussian Processes NIPS 2018
Algorithmic Linearly Constrained Gaussian Processes NIPS 2018
Bayesian Nonparametric Spectral Estimation NIPS 2018
Safe Active Learning for Time-Series Modeling with Gaussian Processes NIPS 2018
Infinite-Horizon Gaussian Processes NIPS 2018
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models NIPS 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks NIPS 2018
Adversarially Robust Optimization with Gaussian Processes NIPS 2018
A Bayes-Sard Cubature Method NIPS 2018
Gaussian Process Conditional Density Estimation NIPS 2018
Variational Bayesian Monte Carlo NIPS 2018
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance NIPS 2018
Orthogonally Decoupled Variational Gaussian Processes NIPS 2018
Learning Invariances using the Marginal Likelihood NIPS 2018