Gaussian Processes
666 papers
Papers per year
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17
22
30
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33
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Papers
Bayesian Optimization of Function Networks
NeurIPS 2021
Bayesian Optimization with High-Dimensional Outputs
NeurIPS 2021
Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems
AAAI 2021
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms
AISTATS 2021
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features
NeurIPS 2021
Consistency of Gaussian Process Regression in Metric Spaces
JMLR 2021
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness
JMLR 2021
Deconditional Downscaling with Gaussian Processes
NeurIPS 2021
Differentially Private Regression and Classification with Sparse Gaussian Processes
JMLR 2021
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning
AISTATS 2021
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes
ICML 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks
NeurIPS 2021
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation
NeurIPS 2021
Gaussian Process-Based Real-Time Learning for Safety Critical Applications
ICML 2021
Gaussian Process Priors for View-Aware Inference
AAAI 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
ICML 2021
High-dimensional Bayesian optimization with sparse axis-aligned subspaces
UAI 2021
Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements
ICCV 2021
Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters
AAAI 2021
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data
ICML 2021
Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system
L4DC 2021
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
AAAI 2021
Learning Nonparametric Volterra Kernels with Gaussian Processes
NeurIPS 2021
Learning to Learn Dense Gaussian Processes for Few-Shot Learning
NeurIPS 2021
Lenient Regret and Good-Action Identification in Gaussian Process Bandits
ICML 2021