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sparse gaussian process

27 papers

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Also known as

SPARSE GPR SGP

Co-occurring keywords

variational inference (2069) gaussian process (1200) gaussian process regression (133) bayesian inference (1907) sparse approximation (76) deep gaussian process (38) inducing point (33) dynamical system (398) state-space model (153) latent variable model (564)

Papers

Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption AAAI 2024
Sparse Variational Student-t Processes AAAI 2024
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023
Function-space Inference with Sparse Implicit Processes ICML 2022
Memory safe computations with XLA compiler NIPS 2022
Sparse Additive Gaussian Process Regression JMLR 2022
Deep Neural Networks as Point Estimates for Deep Gaussian Processes NIPS 2021
Probabilistic selection of inducing points in sparse Gaussian processes UAI 2021
Direct Loss Minimization for Sparse Gaussian Processes AISTATS 2021
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes CORL 2021
Sparse within Sparse Gaussian Processes using Neighbor Information ICML 2021
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020
Deep Gaussian Processes with Importance-Weighted Variational Inference ICML 2019
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks ICML 2019
Scalable Generalized Dynamic Topic Models AISTATS 2018
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models AISTATS 2016
Distributed Submodular Maximization JMLR 2016
A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models ICML 2016
Incremental Variational Sparse Gaussian Process Regression NIPS 2016
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data ICML 2015
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NIPS 2014
Variational Gaussian Process State-Space Models NIPS 2014
Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression RSS 2014
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013