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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

Aligned Multi-Task Gaussian Process AISTATS 2022
Adaptive Gaussian Process Change Point Detection ICML 2022
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes ICML 2022
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition ICML 2022
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times ICML 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation ICML 2022
Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures AISTATS 2022
NeuralEF: Deconstructing Kernels by Deep Neural Networks ICML 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022
Bayesian Optimization over Permutation Spaces AAAI 2022
Modelling Non-Smooth Signals with Complex Spectral Structure AISTATS 2022
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels NIPS 2022
Revisiting Active Sets for Gaussian Process Decoders NIPS 2022
Adjoint-aided inference of Gaussian process driven differential equations NIPS 2022
Matérn Gaussian Processes on Graphs AISTATS 2021
Nonparametric Decomposition of Sparse Tensors ICML 2021
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition ICML 2021
Value-at-Risk Optimization with Gaussian Processes ICML 2021
On Information Gain and Regret Bounds in Gaussian Process Bandits AISTATS 2021
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence NIPS 2021
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information ICML 2021
Geometric convergence of elliptical slice sampling ICML 2021
A Distribution-dependent Analysis of Meta Learning ICML 2021
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes ICML 2021
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021