gaussian process

Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families AAAI 2024 Exact Inference for Continuous-Time Gaussian Process Dynamics AAAI 2024 Exploring High-dimensional Search Space via Voronoi Graph Traversing UAI 2024 eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling NeurIPS 2024 Fast Fourier Bayesian Quadrature AISTATS 2024 Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data ICLR 2024 Gaussian Process Bandits for Top-k Recommendations NeurIPS 2024 Gaussian Process Neural Additive Models AAAI 2024 Gradients of Functions of Large Matrices NeurIPS 2024 Graphical Multioutput Gaussian Process with Attention ICLR 2024 Graph Neural Networks Do Not Always Oversmooth NeurIPS 2024 HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NeurIPS 2024 Hodge-Compositional Edge Gaussian Processes AISTATS 2024 Idiographic Personality Gaussian Process for Psychological Assessment NeurIPS 2024 Implicit Gaussian process representation of vector fields over arbitrary latent manifolds ICLR 2024 Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes NeurIPS 2024 Improving sample efficiency of high dimensional Bayesian optimization with MCMC L4DC 2024 In-context Exploration-Exploitation for Reinforcement Learning ICLR 2024 Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data AAAI 2024 Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference NeurIPS 2024 Intrinsic Gaussian Vector Fields on Manifolds AISTATS 2024 Large-Scale Gaussian Processes via Alternating Projection AISTATS 2024 Leave-one-out Distinguishability in Machine Learning ICLR 2024 LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement ECCV 2024 Localized Zeroth-Order Prompt Optimization NeurIPS 2024