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

Improving sample efficiency of high dimensional Bayesian optimization with MCMC L4DC 2024
Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024
Gaussian Process Neural Additive Models AAAI 2024
Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models L4DC 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning NIPS 2024
Correlated Binomial Process COLT 2024
Scalable Meta-Learning with Gaussian Processes AISTATS 2024
Large-Scale Gaussian Processes via Alternating Projection AISTATS 2024
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes AAAI 2024
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Exact Inference for Continuous-Time Gaussian Process Dynamics AAAI 2024
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024
Surrogate Active Subspaces for Jump-Discontinuous Functions AISTATS 2024
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees JMLR 2024
Localized Zeroth-Order Prompt Optimization NIPS 2024
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NIPS 2024
Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference L4DC 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NIPS 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Intrinsic Gaussian Vector Fields on Manifolds AISTATS 2024
Bayesian Adaptive Calibration and Optimal Design NIPS 2024
Idiographic Personality Gaussian Process for Psychological Assessment NIPS 2024
Hodge-Compositional Edge Gaussian Processes AISTATS 2024