Gaussian Processes

Follow this topic Ask about this topic

Momentum

10 papers in the last four weeks, up 233% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 72

All topics

ISBO: Scalable Spatio-Temporal Bayesian Optimization with Log Gaussian Cox Process Models via the INLA-SPDE Approach
Oct 8, 2026Kaichuang Yang, Håvard Rue, Jakob ZeitlerBayesian Optimization Bayesian Inference
KAUST · University of Oxford
Ghost tasking for parametrized Gaussian Processes solving linear differential equations
Oct 8, 2026Johanna Moser, Christopher Albert, Sascha RanftlGaussian Processes Physics-Informed ML
Feature Space Adaptation for Effortless Gaussian Process Flows
Oct 8, 2026Thomas Cowperthwaite, Louis Sharrock, Lachlan Astfalck +1Gaussian Processes Bayesian Inference
University of Cambridge · University College London · University of New South Wales +1
Derivative Gaussian Processes on a Two-Direction Budget
Oct 7, 2026Hyunseok Seung, Matthias KatzfussGaussian Processes Gaussian Process Regression
University of Wisconsin–Madison
What Can a Gaussian Process Design Test
Oct 7, 2026Ivan De Boi, Marnix Van SoomGaussian Processes Statistical Hypothesis Testing
Department of Electromechanical Engineering University of Antwerp Campus Groenenborger – Z373 Groenenborgerlaan 171, 2020 Antwerp, Belgium · Artificial Intelligence Lab Vrije Universiteit Brussel Pleinlaan 2, 1050 Brussels, Belgium
Sharp Asymptotic Theory of Maximum Likelihood Estimation for Gaussian Processes with an RBF Kernel
Oct 7, 2026Ameer Qaqish, Didong LiGaussian Processes Kernel Methods
Department of Biostatistics, University of North Carolina at Chapel Hill
Scalable Logistic Gaussian Process Density Regression with Kinetic Langevin Sampling
Oct 7, 2026Daniel Paulin, Ádám Jung, András A. BenczúrConditional Distribution Estimation Density Estimation
Nanyang Technological University · Eötvös Lor´and University (ELTE) HUN-REN Institute for Computer Science and Control (SZTAKI)
Generalized Matheron Variational Implicit Processes
Oct 6, 2026Luis A. Ortega, Andrés R. Masegosa, Thomas D. NielsenBayesian Inference Gaussian Processes
Aalborg University
Gaussian Universality and Its Breakdown in Tensor-Network Machine Learning
Oct 5, 2026Shi-Tuan Wang, Zidu Liu, Li-Wei YuTensor Networks Gaussian Processes
Theoretical Physics Division, Chern Institute of Mathematics and LPMC, Nankai University, Tianjin 300071, China · Max Planck Institute of Quantum Optics, 85748 Garching, Germany
Isotropic Gaussian Processes Improve Vanilla Bayesian Optimization in High Dimensions
Oct 5, 2026Wei-Ting Tang, Madhav Muthyala, Joel A. PaulsonBayesian Optimization Gaussian Processes
Department of Chemical and Biological Engineering University of Wisconsin–Madison Madison, WI 53706, USA
GUIDE-FBO: Guidance via Uncertainty Intervention and Distributional Exchange for Federated Bayesian Optimization
Sep 28, 2026Jintao Wei, Chenxi Li, Songhao WangBayesian Optimization Gaussian Processes
College of Business, Southern University of Science and Technology Shenzhen, China
What Does a Stream Model Buy You in Flow Matching?
Sep 28, 2026Jian XuFlow Matching Conditional Flow Matching
RIKEN
Residual Correlation as a Diagnostic for Joint-Uncertainty Gains from GP Coregionalisation
Sep 24, 2026Fangqin Zhou, Joaquin VanschorenUncertainty Quantification Multi-Task Learning
Eindhoven University of Technology
Context-Continuous Preference Learning for Exoskeleton Personalization
Sep 23, 2026Sunin Baek, Sungwoo Park, Daekyum KimGaussian Processes User Preference Modeling
School of Mechanical Engineering, Korea University, Seoul 02841, South Korea
Resource-Efficient Distributed Recursive Gaussian Processes
Sep 22, 2026Josephine King, Ali Emre Balci, Raj Thilak RajanDistributed Optimization Gaussian Processes
Signal Processing Systems, Faculty of EEMCS, Delft University of Technology, Mekelweg 4, 2628CD, Delft, The Netherlands
Video-based Surgical Skill Assessment Using Dynamics-and-Uncertainty-Aware Tree-based Gaussian Process Classifier
Sep 21, 2026Arefeh Rezaei, Mohammad Javad Ahmadi, Amir Molaei +1Gaussian Processes Surgical Video Understanding
Applied Robotics and AI Solutions (ARAS), Faculties of Electrical and Computer Engineering, K.N. Toosi University of Technology, Tehran, Iran · Gina Cody School of Engineering and Computer Science, Concordia University, Montreal, Quebec, Canada
Online Adaptive Kernel Mixing for Gaussian Process Decision Making
Sep 17, 2026Kavin Aravindan, Mani Tej Sriram, Gautam Dasarathy +1Bayesian Optimization Active Learning
International Institute of Information Technology, Hyderabad · Arizona State University
Personalized Federated Hierarchical Gaussian Processes for Privacy-Preserving Modeling of Heterogeneous Distributed Systems
Sep 16, 2026Xianjian Xie, Hao YanGaussian Processes Federated Learning
Arizona State University
Online Gradient Computation for Warping Gaussian Process Transformations
Sep 15, 2026Emilio Ruiz-Moreno, Konstantinos Slavakis, Baltasar Beferull-LozanoGaussian Processes Online Learning
SIGIPRO Department, Simula Metropolitan Center for Digital Engineering, Oslo, Norway · SURE-AI Center, Simula Research Laboratory, Oslo, Norway · Institute of Science Tokyo, Yokohama, Japan
Bayesian Optimisation Using Product-of-Experts Gaussian Process Models with Uncertainty Calibration
Sep 14, 2026Yean Hoon OngBayesian Optimization Gaussian Processes
University College London London, United Kingdom
No-Regret Bayesian Optimization with Finite-Library Input-Warped Kernels
Sep 2, 2026Edvin Ketabati Augustinsson, Robert A. BridgesBayesian Optimization Gaussian Processes
AI Sweden, Gothenburg, Sweden
Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity
Aug 25, 2026Heng Zhang, Haotian Xiang, Konstantinos D. Polyzos +2Bayesian Optimization Active Learning
University of Georgia, Athens, GA, USA · University of California San Diego, La Jolla, CA, USA
Improved Regret Analysis for Parallel Gaussian Process Bandit Optimization
Aug 17, 2026Shion Takeno, Shogo IwazakiThompson Sampling Multi-Armed Bandits
Nagoya University · MI-6 Ltd.
Adaptive KappaSharp: Condition-Number Shaping for Preferential Bayesian Optimization
Aug 8, 2026Ketong Shao, Jialu Wang, Xuekai Pei +1Bayesian Optimization Gaussian Processes
University of California, Berkeley · 2Independent · 3Wuhan University
Recursive Gaussian Processes and the Bayesian Brain
Aug 1, 2026Moumita Das, Dipanjan Ray, Sourabh BhattacharyaComputational Cognitive Modeling Predictive Coding
1Indian Institute of Management, Udaipur, India · Department of Psychology and Cognitive Sciences, Ashoka University, Haryana, India · 3Koita Centre for Digital Health at Ashoka (KCDH-A), Haryana, India +1
Simple-regret rates and minimax optimality of fixed-prior expected improvement in Matérn and squared-exponential RKHSs
Jul 31, 2026Emmanuel Vazquez, Sébastien PetitBayesian Optimization Gaussian Processes
Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes, 91190 Gif-sur-Yvette, France · Laboratoire national de métrologie et d’essais (LNE), 1 rue Gaston Boissier, 75724 Paris Cedex 15, France
Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities
Jul 25, 2026Jeremy OvadiaUncertainty Quantification Gaussian Processes
Sequoia Research Corporation 2875 Temple Ave Signal Hill, CA, 90755, USA
A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling
Jul 21, 2026Eric Herrison Gyamfi, Emily L. Kang, Bledar A. Konomi +1Bayesian Inference Gaussian Processes
Division of Statistics and Data Science, Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH · Department of Mathematics, Purdue University, West Lafayette, IN
Deep Gaussian Processes on Directed Acyclic Graphs
Jul 10, 2026Federico L. Perlino, Oliver Hamelijnck, Adam M. Johansen +1Surrogate Modeling Multifidelity Modeling
Department of Statistics, University of Warwick · 2AI Team, Unilink Software Ltd · Department of Computer Science, University of Warwick
Pitfalls and Remedies for Multi-Task Bayesian Optimization
Jul 10, 2026Carl Hvarfner, Sam Daulton, Max Balandat +1Bayesian Optimization Hyperparameter Transfer
Meta

Oct 8, 2026, stat.MLJ/K move · Enter open · S save

ISBO: Scalable Spatio-Temporal Bayesian Optimization with Log Gaussian Cox Process Models via the INLA-SPDE Approach

Kaichuang Yang, Håvard Rue, Jakob Zeitler

KAUST · University of Oxford

Bayesian Optimization Bayesian Inference Gaussian Processes

Open paper AskPDF arXiv

Bayesian Optimization (BO) is a popular method for efficiently optimizing expensive black-box objectives. However, BO utilizing standard Gaussian Processes is ill-suited for doubly stochastic Cox Processes that are often used in spatio-temporal problem spaces. We introduce INLA-SPDE Spatio-Temporal Bayesian Optimization (ISBO): the first scalable BO framework for spatio-temporal data, that models the log-intensity with a Log-Gaussian Cox Process(LGCP) and performs inference via Integrated Nested Laplace Approximation and Stochastic Partial Differential Equations (INLA-SPDE) approach. Using a Matern field on meshes yields a sparse Gaussian Markov Random Field, where INLA provides fast and accurate posterior inference throughout sequential optimization. ISBO stably locates high-intensity regions and the peak of the latent intensity with minimal evaluations. A time-varying Upper Confidence Bound acquisition with masking avoids revisits, while penalized-complexity priors regularize early rounds. Experiments on synthetic and real-world spatio-temporal datasets show accurate peak discovery, intensity recovery, and substantial speedups over an RKHS-based baseline, positioning ISBO as a practical choice for BO with point-process data.

Momentum

Related topics

Latest papers 72