gaussian process regression

Optimizing Product Provenance Verification Using Data Valuation Methods AAAI 2026 Practical Global and Local Bounds in Gaussian Process Regression via Chaining AAAI 2026 Relative Information Gain and Gaussian Process Regression ALT 2026 SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process–Assisted Self-Paced Learning AAAI 2026 Accurate and Scalable Stochastic Gaussian Process Regression via Learnable Coreset-based Variational Inference UAI 2025 Asynchronous Distributed Gaussian Process Regression AAAI 2025 CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction AAAI 2025 Distributionally Robust Active Learning for Gaussian Process Regression ICML 2025 Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models JMLR 2025 Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification AAAI 2025 GS-LIVM: Real-Time Photo-Realistic LiDAR-Inertial-Visual Mapping with Gaussian Splatting ICCV 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 Offline Changepoint Detection With Gaussian Processes UAI 2025 Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NeurIPS 2024 Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels AISTATS 2024 Kermut: Composite kernel regression for protein variant effects NeurIPS 2024 Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems L4DC 2024 Nearly Optimal Approximation of Matrix Functions by the Lanczos Method NeurIPS 2024 Sample-Constrained Black Box Optimization for Audio Personalization AAAI 2024 Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024 Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning L4DC 2023 Implicit Manifold Gaussian Process Regression NeurIPS 2023