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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

Failure-Aware Gaussian Process Optimization with Regret Bounds NIPS 2023
A Corrected Expected Improvement Acquisition Function Under Noisy Observations ACML 2023
Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023
Multilateral Semantic Relations Modeling for Image Text Retrieval CVPR 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023
Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents ICML 2023
Adaptive Cholesky Gaussian Processes AISTATS 2023
Physics-enhanced Gaussian Process Variational Autoencoder L4DC 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior NIPS 2023
Contextual Gaussian Process Bandits with Neural Networks NIPS 2023
A Bayesian Take on Gaussian Process Networks NIPS 2023
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing NIPS 2023
The Fast Kernel Transform AISTATS 2022
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits NIPS 2022
Feature Collapsing for Gaussian Process Variable Ranking AISTATS 2022
Multi-fidelity Monte Carlo: a pseudo-marginal approach NIPS 2022
Sparse Gaussian Process Hyperparameters: Optimize or Integrate? NIPS 2022
Modeling the Machine Learning Multiverse NIPS 2022
On the inability of Gaussian process regression to optimally learn compositional functions NIPS 2022
Bezier Gaussian Processes for Tall and Wide Data NIPS 2022
High-dimensional Additive Gaussian Processes under Monotonicity Constraints NIPS 2022