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

Nonparametric Decomposition of Sparse Tensors ICML 2021
Dynamic Causal Bayesian Optimization NIPS 2021
High-dimensional Bayesian optimization with sparse axis-aligned subspaces UAI 2021
Regret Bounds for Gaussian-Process Optimization in Large Domains NIPS 2021
Fast Adaptation with Linearized Neural Networks AISTATS 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression AAAI 2021
Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection CVPR 2021
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees ICML 2021
Modular Gaussian Processes for Transfer Learning NIPS 2021
Relative Positional Encoding for Transformers with Linear Complexity ICML 2021
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations NIPS 2021
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance NIPS 2021
Bayesian Optimized Monte Carlo Planning AAAI 2021
Deconditional Downscaling with Gaussian Processes NIPS 2021
Bayesian Optimization with High-Dimensional Outputs NIPS 2021
Personalized Federated Learning With Gaussian Processes NIPS 2021
Linearly Constrained Gaussian Processes with Boundary Conditions AISTATS 2021
Mean-Variance Analysis in Bayesian Optimization under Uncertainty AISTATS 2021
Latent variable modeling with random features AISTATS 2021
Non-Gaussian Gaussian Processes for Few-Shot Regression NIPS 2021
Multi-Fidelity High-Order Gaussian Processes for Physical Simulation AISTATS 2021
Active Learning with Maximum Margin Sparse Gaussian Processes AISTATS 2021
On Information Gain and Regret Bounds in Gaussian Process Bandits AISTATS 2021
A variational approximate posterior for the deep Wishart process NIPS 2021
Marginalised Gaussian Processes with Nested Sampling NIPS 2021