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

Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding NIPS 2024
Correlated Binomial Process COLT 2024
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees JMLR 2024
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NIPS 2024
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024
Bayesian Adaptive Calibration and Optimal Design NIPS 2024
Computation-Aware Learning for Stable Control with Gaussian Process RSS 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NIPS 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024
Fast Fourier Bayesian Quadrature AISTATS 2024
Variational Gaussian Process Diffusion Processes AISTATS 2024
Localized Zeroth-Order Prompt Optimization NIPS 2024
Large-Scale Gaussian Processes via Alternating Projection AISTATS 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NIPS 2024
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024
Random Fully Connected Neural Networks as Perturbatively Solvable Hierarchies JMLR 2024
Scalable Meta-Learning with Gaussian Processes AISTATS 2024
Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes NIPS 2024
Surrogate Active Subspaces for Jump-Discontinuous Functions AISTATS 2024
Improving sample efficiency of high dimensional Bayesian optimization with MCMC L4DC 2024
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering RSS 2024
Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference L4DC 2024