conftrace_

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

Gaussian Process Bandits with Aggregated Feedback AAAI 2022
Learning Fractional White Noises in Neural Stochastic Differential Equations NIPS 2022
Learning interacting dynamical systems with latent Gaussian process ODEs NIPS 2022
Kernel Interpolation with Sparse Grids NIPS 2022
Sample-Then-Optimize Batch Neural Thompson Sampling NIPS 2022
Monte Carlo Tree Descent for Black-Box Optimization NIPS 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022
Bayesian Optimization over Permutation Spaces AAAI 2022
Revisiting Active Sets for Gaussian Process Decoders NIPS 2022
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels NIPS 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes CORL 2022
Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models JMLR 2022
Supervising the Multi-Fidelity Race of Hyperparameter Configurations NIPS 2022
Parallel MCMC Without Embarrassing Failures AISTATS 2022
Non-separable Spatio-temporal Graph Kernels via SPDEs AISTATS 2022
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations AISTATS 2022
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations NIPS 2022
Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures AISTATS 2022
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization AISTATS 2022
Aligned Multi-Task Gaussian Process AISTATS 2022
Efficient Approximate Inference for Stationary Kernel on Frequency Domain ICML 2022
Transfer Learning with Gaussian Processes for Bayesian Optimization AISTATS 2022
Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes AISTATS 2022
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty ICML 2022
Information-Theoretic Safe Exploration with Gaussian Processes NIPS 2022