Cover Image

Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Haoyuan, Tuo, Rui
Format:	Preprint
Published:	2024
Subjects:	Computation Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Aggregation Models with Optimal Weights for Distributed Gaussian Processes
by: Chen, Haoyuan, et al.
Published: (2024)

Privacy-aware Gaussian Process Regression
by: Tuo, Rui, et al.
Published: (2023)

From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
by: Zhao, Wenyuan, et al.
Published: (2025)

Sparse Techniques for Regression in Deep Gaussian Processes
by: Latz, Jonas, et al.
Published: (2025)

Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
by: Chen, Jie
Published: (2024)

Generative modeling of Sparse Approximate Inverse Preconditioners
by: Li, Mou, et al.
Published: (2024)

Preconditioners for the Stochastic Training of Neural Fields
by: Chng, Shin-Fang, et al.
Published: (2024)

PolytopeWalk: Sparse MCMC Sampling over Polytopes
by: Sun, Benny, et al.
Published: (2024)

A Non-asymptotic Analysis for Learning and Applying a Preconditioner in MCMC
by: Hird, Max, et al.
Published: (2026)

Calibrating Transformers via Sparse Gaussian Processes
by: Chen, Wenlong, et al.
Published: (2023)

Sparse Gaussian Neural Processes
by: Rochussen, Tommy, et al.
Published: (2025)

Constrained Bayesian Optimization under Bivariate Gaussian Process with Application to Cure Process Optimization
by: Li, Yezhuo, et al.
Published: (2025)

Gaussian Process Neural Additive Models
by: Zhang, Wei, et al.
Published: (2024)

Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs
by: Yang, Zherui, et al.
Published: (2025)

Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
by: Chen, Yingyi, et al.
Published: (2024)

On Additive Gaussian Processes for Wind Farm Power Prediction
by: Brealy, Simon M., et al.
Published: (2026)

Online Learning for Equilibrium Pricing in Markets under Incomplete Information
by: Jalota, Devansh, et al.
Published: (2023)

Preconditioned Additive Gaussian Processes with Fourier Acceleration
by: Wagner, Theresa, et al.
Published: (2025)

Sparse Orthogonal Variational Inference for Gaussian Processes
by: Shi, Jiaxin, et al.
Published: (2019)

Inverse-Free Sparse Variational Gaussian Processes
by: Cortinovis, Stefano, et al.
Published: (2026)

Evaluating Privacy-Utility Tradeoffs in Synthetic Smart Grid Data
by: Catarino, Andre, et al.
Published: (2025)

Gaussian Process Boosting
by: Sigrist, Fabio
Published: (2020)

New Bounds for Sparse Variational Gaussian Processes
by: Titsias, Michalis K.
Published: (2025)

Improving the Predictability of the Madden-Julian Oscillation at Subseasonal Scales with Gaussian Process Models
by: Chen, Haoyuan, et al.
Published: (2025)

Improving Adaptive Moment Optimization via Preconditioner Diagonalization
by: Nguyen, Son, et al.
Published: (2025)

Mixtures of Gaussian Process Experts with SMC$^2$
by: Härkönen, Teemu, et al.
Published: (2022)

SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-Shot
by: Tuo, Kaiwen, et al.
Published: (2025)

From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency
by: Wen, Kaiyue, et al.
Published: (2024)

Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
by: Kang, Suhyun, et al.
Published: (2024)

A Streaming Sparse Cholesky Method for Derivative-Informed Gaussian Process Surrogates Within Digital Twin Applications
by: Logakannan, Krishna Prasath, et al.
Published: (2025)

Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
by: Wei, Yunyue, et al.
Published: (2024)

Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited
by: Bui, Thang D., et al.
Published: (2025)

Cauchy-Schwarz Fairness Regularizer
by: Liu, Yezi, et al.
Published: (2025)

Generalized Sparse Additive Model with Unknown Link Function
by: Yuan, Peipei, et al.
Published: (2024)

An Adaptive Importance Sampling for Locally Stable Point Processes
by: Kang, Hee-Geon, et al.
Published: (2024)

Robust and Conjugate Spatio-Temporal Gaussian Processes
by: Laplante, William, et al.
Published: (2025)

Adaptive Preconditioners Trigger Loss Spikes in Adam
by: Bai, Zhiwei, et al.
Published: (2025)

Fusion of Gaussian Processes Predictions with Monte Carlo Sampling
by: Ajirak, Marzieh, et al.
Published: (2024)

Scalable Bayesian Optimization with Sparse Gaussian Process Models
by: Yang, Ang
Published: (2020)

Symbolic Regression on Sparse and Noisy Data with Gaussian Processes
by: Hsin, Junette, et al.
Published: (2023)