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gaussian process

1200 papers

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Also known as

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

Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase ICML 2020
GP-NAS: Gaussian Process Based Neural Architecture Search CVPR 2020
Near-linear time Gaussian process optimization with adaptive batching and resparsification ICML 2020
Bandit optimisation of functions in the Matérn kernel RKHS AISTATS 2020
Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes CVPR 2020
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models AISTATS 2020
Localizing and Amortizing: Efficient Inference for Gaussian Processes ACML 2020
Scalable Uncertainty for Computer Vision With Functional Variational Inference CVPR 2020
Causal Inference using Gaussian Processes with Structured Latent Confounders ICML 2020
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems AAAI 2020
Dynamic Embedding on Textual Networks via a Gaussian Process AAAI 2020
Black-Box Inference for Non-Linear Latent Force Models AISTATS 2020
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes CORL 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization AISTATS 2020
An Interpretable and Sample Efficient Deep Kernel for Gaussian Process UAI 2020
Stochastic Variational Inference for Dynamic Correlated Topic Models UAI 2020
PoRB-Nets: Poisson Process Radial Basis Function Networks UAI 2020
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes ICML 2020
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data NIPS 2020
Planning from Images with Deep Latent Gaussian Process Dynamics L4DC 2020
Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability AISTATS 2020
Parametric Gaussian Process Regressors ICML 2020
Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations ICML 2020
Corruption-Tolerant Gaussian Process Bandit Optimization AISTATS 2020
Learning Polynomials in Few Relevant Dimensions COLT 2020