conftrace_

gaussian process

1200 papers

Explore in graph

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

Marginalised Gaussian Processes with Nested Sampling NIPS 2021
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain AISTATS 2021
Structure-Aware Random Fourier Kernel for Graphs NIPS 2021
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance NIPS 2021
Mean-Variance Analysis in Bayesian Optimization under Uncertainty AISTATS 2021
Hierarchical Inducing Point Gaussian Process for Inter-domian Observations AISTATS 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks NIPS 2021
Continuous Integration over SO(3) for IMU Preintegration RSS 2021
How is BERT surprised? Layerwise detection of linguistic anomalies IJCNLP 2021
Latent variable modeling with random features AISTATS 2021
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis JMLR 2021
Trusted-maximizers entropy search for efficient Bayesian optimization UAI 2021
Linearly Constrained Gaussian Processes with Boundary Conditions AISTATS 2021
GP-ConvCNP: Better generalization for conditional convolutional Neural Processes on time series data UAI 2021
The promises and pitfalls of deep kernel learning UAI 2021
Significance of Gradient Information in Bayesian Optimization AISTATS 2021
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes ICML 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL NIPS 2021
No-regret approximate inference via Bayesian optimisation UAI 2021
Bayesian Optimization with High-Dimensional Outputs NIPS 2021
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation CVPR 2021
Scalable Thompson Sampling using Sparse Gaussian Process Models NIPS 2021
Kernel Functional Optimisation NIPS 2021
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021