Gaussian Processes

Calibrated Computation-Aware Gaussian Processes AISTATS 2025 Diffusion-aware Censored Gaussian Processes for Demand Modelling IJCAI 2025 Epistemic Uncertainty in Conformal Scores: A Unified Approach UAI 2025 Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices AISTATS 2025 Fast Summation of Radial Kernels via QMC Slicing ICLR 2025 Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields AISTATS 2025 From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation AISTATS 2025 Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation AISTATS 2025 Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation AISTATS 2025 Identifiability for Gaussian Processes with Holomorphic Kernels ICLR 2025 KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025 Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood AAAI 2025 Learning signals defined on graphs with optimal transport and Gaussian process regression AISTATS 2025 Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test ICLR 2025 Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes AISTATS 2025 Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals JMLR 2025 LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025 Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model WACV 2025 Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025 Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025 NAPI-MPC: Neural Accelerated Physics-Informed MPC for Nonlinear PDE Systems L4DC 2025 Neural Point Processes for Pixel-wise Regression AISTATS 2025 Offline Changepoint Detection With Gaussian Processes UAI 2025 Online Student-t Processes with an Overall-local Scale Structure for Modelling Non-stationary Data AISTATS 2025 Optimizing Posterior Samples for Bayesian Optimization via Rootfinding ICLR 2025