Cover Image

Codiscovering graphical structure and functional relationships within data: A Gaussian Process framework for connecting the dots

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bourdais, Théo, Batlle, Pau, Yang, Xianjin, Baptista, Ricardo, Rouquette, Nicolas, Owhadi, Houman
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence Numerical Analysis Social and Information Networks 62A09, 62H22, 65S05, 90C35, 94C15, 46E22, 62J02, 15A83, 62D20, 68R10
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models
by: Bourdais, Théo, et al.
Published: (2024)

Minimaxity and Admissibility of Bayesian Neural Networks
by: Coulson, Daniel Andrew, et al.
Published: (2026)

Identifiability of VAR(1) model in a stationary setting
by: Liu, Bixuan
Published: (2025)

Diffeomorphic Measure Matching with Kernels for Generative Modeling
by: Pandey, Biraj, et al.
Published: (2024)

Robust Recovery of Robinson Property in $L^p$-Graphons: A Cut-Norm Approach
by: Ghandehari, Mahya, et al.
Published: (2023)

Consistent line clustering using geometric hypergraphs
by: Alaluusua, Kalle, et al.
Published: (2025)

On the Connection Between Non-negative Matrix Factorization and Latent Dirichlet Allocation
by: Geiger, Benedikt, et al.
Published: (2024)

Determining a credit transition matrix from cumulative default probabilities
by: Gzyl, Henryk, et al.
Published: (2025)

Martingale Posterior Predictive Coherence: Hausdorff Moment Hierarchy
by: Polson, Nicholas G., et al.
Published: (2026)

Approximating $f$-Divergences with Rank Statistics
by: Stein, Viktor, et al.
Published: (2026)

Identifiability in Graphical Discrete Lyapunov Models
by: Recke, Cecilie Olesen, et al.
Published: (2026)

Admissibility of Adaptive Monotone Step-Down Multiple Testing Procedures Under Arbitrary Covariance Dependence
by: Ghosh, Prasenjit, et al.
Published: (2026)

Discretization of integrals driven by multifractional Brownian motions with discontinuous integrands
by: Ralchenko, Kostiantyn, et al.
Published: (2024)

Consistent DAG selection for Bayesian causal discovery under general error distributions
by: Chaudhuri, Anamitra, et al.
Published: (2025)

Consistent Bayesian causal discovery for structural equation models with equal error variances
by: Chaudhuri, Anamitra, et al.
Published: (2025)

A copula-based rank histogram ensemble filter
by: Subrahmanya, Amit N., et al.
Published: (2025)

A Trek Rule for the Lyapunov Equation
by: Hansen, Niels Richard
Published: (2024)

Utilizing Multiple Testing for Grouping in Singular Spectrum Analysis
by: Movahedifar, Maryam, et al.
Published: (2024)

Regularized Estimation of Sparse Spectral Precision Matrices
by: Deb, Navonil, et al.
Published: (2024)

Variational Bayesian Optimal Experimental Design with Normalizing Flows
by: Dong, Jiayuan, et al.
Published: (2024)

A More Precise Elbow Method for Optimum K-means Clustering
by: Herdiana, Indra, et al.
Published: (2025)

Bayes with No Shame: Admissibility Geometries of Predictive Inference
by: Polson, Nicholas G., et al.
Published: (2026)

Likelihood Ratio Tests by Kernel Gaussian Embedding
by: Santoro, Leonardo V., et al.
Published: (2025)

Simple and Sharp Generalization Bounds via Lifting
by: Liu, Jingbo
Published: (2025)

A Conversation with A. Philip Dawid
by: Vovk, Vladimir, et al.
Published: (2023)

Statistical Estimations for Non-Ergodic Vasicek Model Driven by Two Types of Gaussian Processes
by: Chen, Yong, et al.
Published: (2023)

Estimating the Shannon Entropy Using the Pitman--Yor Process
by: Hashino, Takato, et al.
Published: (2026)

Asymptotic properties of parameter estimators in Vasicek model driven by tempered fractional Brownian motion
by: Mishura, Yuliya, et al.
Published: (2024)

Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
by: Tan, Hong Ye, et al.
Published: (2024)

On the Identifiability of Tensor Ranks via Prior Predictive Matching
by: da Silva, Eliezer, et al.
Published: (2025)

Leave-group-out cross-validation for latent Gaussian models
by: Liu, Zhedong, et al.
Published: (2022)

Bayesian prediction regions and density estimation with type-2 censored data
by: Asgharzadeh, Akbar, et al.
Published: (2024)

Likelihood asymptotics of stationary Gaussian arrays
by: Chong, Carsten H., et al.
Published: (2025)

Solvability of The Operator Equations $ AX-XB=C $ and $ AX-YB=C $
by: Lombarkia, Farida, et al.
Published: (2025)

Response to: "A note on conditional densities, Bayes' rule, and recent criticisms of Bayesian inference" by Yan et al., 2026
by: Mosegaard, Klaus, et al.
Published: (2026)

E-Values, Bayes Risk, Dual Role of Markov's Inequality
by: Polson, Nicholas G., et al.
Published: (2026)

Bayesian Effective Dimension: A Mutual Information Perspective
by: Banerjee, Sayantan
Published: (2025)

A Note on Extension Properties and Representations of Matroids
by: Bamiloshin, Michael, et al.
Published: (2023)

Hierarchical inference of evidence using posterior samples
by: Rinaldi, Stefano, et al.
Published: (2024)

Infinite-Dimensional Spherical Kernel ridge Regression
by: Matteo, Beatrice, et al.
Published: (2026)