gaussian process

Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023 Energy-Based Models for Functional Data using Path Measure Tilting AISTATS 2023 Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023 Estimation of Counterfactual Interventions under Uncertainties ACML 2023 Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models NeurIPS 2023 Failure-Aware Gaussian Process Optimization with Regret Bounds NeurIPS 2023 Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization NeurIPS 2023 Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization NeurIPS 2023 Free-Form Variational Inference for Gaussian Process State-Space Models ICML 2023 Frequency Domain Gaussian Process Models for $H^∞$ Uncertainties L4DC 2023 Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023 Functional causal Bayesian optimization UAI 2023 Fuzzy C-means: Differences on Clustering Behavior between High Dimensional and Functional Data (Student Abstract) AAAI 2023 GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers ICCV 2023 GAUCHE: A Library for Gaussian Processes in Chemistry NeurIPS 2023 Gaussian processes at the Helm(holtz): A more fluid model for ocean currents ICML 2023 Gaussian Processes on Distributions based on Regularized Optimal Transport AISTATS 2023 Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023 Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023 Gaussian Process Probes (GPP) for Uncertainty-Aware Probing NeurIPS 2023 Gaussian Process Surrogate Models for Neural Networks UAI 2023 GPEX, A Framework For Interpreting Artificial Neural Networks NeurIPS 2023 Gradient Boosting Performs Gaussian Process Inference ICLR 2023 Graph classification Gaussian processes via spectral features UAI 2023 Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning ICLR 2023