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

Surrogate Active Subspaces for Jump-Discontinuous Functions AISTATS 2024
Warped Diffusion for Latent Differentiation Inference AISTATS 2024
Large-Scale Gaussian Processes via Alternating Projection AISTATS 2024
Correlated Binomial Process COLT 2024
Graph Neural Networks Do Not Always Oversmooth NIPS 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference NIPS 2024
Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024
Exact Inference for Continuous-Time Gaussian Process Dynamics AAAI 2024
Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes AAAI 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024
Computation-Aware Learning for Stable Control with Gaussian Process RSS 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024
NeoRL: Efficient Exploration for Nonepisodic RL NIPS 2024
Gaussian Process Neural Additive Models AAAI 2024
Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference L4DC 2024
Towards safe multi-task Bayesian optimization L4DC 2024
Physically consistent modeling & identification of nonlinear friction with dissipative Gaussian processes L4DC 2024
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees JMLR 2024
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering RSS 2024
Multi-Agent Learning in Contextual Games under Unknown Constraints AISTATS 2024
Improving sample efficiency of high dimensional Bayesian optimization with MCMC L4DC 2024
Stopping Bayesian Optimization with Probabilistic Regret Bounds NIPS 2024
Nonstationary Sparse Spectral Permanental Process NIPS 2024
Learning Choice Functions with Gaussian Processes UAI 2023
Benefits of monotonicity in safe exploration with Gaussian processes UAI 2023