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Gaussian Processes

570 papers

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Papers

Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NIPS 2023
Optimistic Active Exploration of Dynamical Systems NIPS 2023
Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications NIPS 2023
Efficient Exploration in Continuous-time Model-based Reinforcement Learning NIPS 2023
Learning Curves for Deep Structured Gaussian Feature Models NIPS 2023
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability NIPS 2023
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NIPS 2023
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models NIPS 2023
Graph-Structured Gaussian Processes for Transferable Graph Learning NIPS 2023
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks AAAI 2023
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models AAAI 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023
Adaptive Cholesky Gaussian Processes AISTATS 2023
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023
Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023
Mode-constrained Model-based Reinforcement Learning via Gaussian Processes AISTATS 2023
A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data AISTATS 2023
Isotropic Gaussian Processes on Finite Spaces of Graphs AISTATS 2023
Gaussian Processes on Distributions based on Regularized Optimal Transport AISTATS 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems AISTATS 2023
Nonparametric Gaussian Process Covariances via Multidimensional Convolutions AISTATS 2023
Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023
Actually Sparse Variational Gaussian Processes AISTATS 2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023