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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

Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations NIPS 2021
Learning to Learn Dense Gaussian Processes for Few-Shot Learning NIPS 2021
Local Differential Privacy for Bayesian Optimization AAAI 2021
Pathwise Conditioning of Gaussian Processes JMLR 2021
Causal Inference using Gaussian Processes with Structured Latent Confounders ICML 2020
Video Instance Segmentation Tracking With a Modified VAE Architecture CVPR 2020
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract) IJCAI 2020
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes ICML 2020
Deep Structured Mixtures of Gaussian Processes AISTATS 2020
Doubly Sparse Variational Gaussian Processes AISTATS 2020
Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020
Learning Polynomials in Few Relevant Dimensions COLT 2020
Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020
PoRB-Nets: Poisson Process Radial Basis Function Networks UAI 2020
Stochastic Variational Inference for Dynamic Correlated Topic Models UAI 2020
An Interpretable and Sample Efficient Deep Kernel for Gaussian Process UAI 2020
Influenza Forecasting Framework based on Gaussian Processes ICML 2020
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances ICML 2020
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes CORL 2020
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds NIPS 2020
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation IJCAI 2020
Localizing and Amortizing: Efficient Inference for Gaussian Processes ACML 2020
Learning in the Wild with Incremental Skeptical Gaussian Processes IJCAI 2020
Bayesian Optimization using Pseudo-Points IJCAI 2020
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks ICML 2020