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Gaussian Processes

568 directly classified papers

Papers per year

Papers

Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024
Sparse Variational Student-t Processes AAAI 2024
Gaussian Process Neural Additive Models AAAI 2024
Transfer learning for tensor Gaussian graphical models JMLR 2024
Exact Inference for Continuous-Time Gaussian Process Dynamics AAAI 2024
Sample-Constrained Black Box Optimization for Audio Personalization AAAI 2024
Efficient Nonparametric Tensor Decomposition for Binary and Count Data AAAI 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems NIPS 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NIPS 2024
Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024
Idiographic Personality Gaussian Process for Psychological Assessment NIPS 2024
Hodge-Compositional Edge Gaussian Processes AISTATS 2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024
Active Learning Guided by Efficient Surrogate Learners AAAI 2024
Kernel Thinning JMLR 2024
Constrained Efficient Global Optimization of Expensive Black-box Functions ICML 2023
A theory of representation learning gives a deep generalisation of kernel methods ICML 2023
Delayed Feedback in Kernel Bandits ICML 2023
Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes ICML 2023
Actually Sparse Variational Gaussian Processes AISTATS 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023