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gaussian processes

112 papers

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GP GPS

Co-occurring keywords · papers mentioning both

gaussian process (82) variational inference (24) bayesian inference (21) bayesian optimization (14) sparse approximation (10) kernel methods (9) active learning (7) uncertainty quantification (5) kernel learning (4) markov chain monte carlo (4)

Papers

Adjusting Model Size in Continual Gaussian Processes: How Big is Big Enough? ICML 2025 Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation ICML 2025 Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors ICML 2025 GaussianFormer-2: Probabilistic Gaussian Superposition for Efficient 3D Occupancy Prediction CVPR 2025 Learning Time-Varying Multi-Region Brain Communications via Scalable Markovian Gaussian Processes ICML 2025 Robust and Conjugate Spatio-Temporal Gaussian Processes ICML 2025 Scalable Gaussian Processes with Latent Kronecker Structure ICML 2025 Stochastic Poisson Surface Reconstruction with One Solve using Geometric Gaussian Processes ICML 2025 Stream-level Flow Matching with Gaussian Processes ICML 2025 The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs JMLR 2025 The Price of Linear Time: Error Analysis of Structured Kernel Interpolation ICML 2025 Accelerating Convergence in Bayesian Few-Shot Classification ICML 2024 BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition ICML 2024 Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints ICML 2024 Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024 Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024 Energy-Efficient Gaussian Processes Using Low-Precision Arithmetic ICML 2024 Gaussian Processes on Cellular Complexes ICML 2024 HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NeurIPS 2024 Large-Scale Gaussian Processes via Alternating Projection AISTATS 2024 Large Scale Mapping of Indoor Magnetic Field by Local and Sparse Gaussian Processes CoRL 2024 Latent variable model for high-dimensional point process with structured missingness ICML 2024 Learning Mixtures of Gaussian Processes through Random Projection ICML 2024 No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024 On the Consistency of Kernel Methods with Dependent Observations ICML 2024