Cover Image

Summarizing Bayesian Nonparametric Mixture Posterior -- Sliced Optimal Transport Metrics for Gaussian Mixtures

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Khai, Mueller, Peter
Format:	Preprint
Published:	2024
Subjects:	Methodology Applications Computation Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2025)

Streaming Sliced Optimal Transport
by: Nguyen, Khai
Published: (2025)

An Introduction to Sliced Optimal Transport
by: Nguyen, Khai
Published: (2025)

Mixture-of-experts Wishart model for covariance matrices with an application to Cancer drug screening
by: Mai, The Tien, et al.
Published: (2026)

Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
by: Nguyen, Khai, et al.
Published: (2025)

Bayesian Multiple Multivariate Density-Density Regression
by: Nguyen, Khai, et al.
Published: (2026)

Nonparametric Bayesian Multi-Treatment Mixture Cure Survival Model with Application in Pediatric Oncology
by: Chang, Peter, et al.
Published: (2025)

Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
by: Polson, Nick, et al.
Published: (2026)

Bayesian Prognostic Covariate Adjustment With Additive Mixture Priors
by: Vanderbeek, Alyssa M., et al.
Published: (2023)

A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental Design
by: Chakraborty, Atlanta, et al.
Published: (2024)

Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
by: Yang, Yumo, et al.
Published: (2025)

On Model-Based Clustering With Entropic Optimal Transport
by: Mena, Gonzalo
Published: (2026)

Efficient Generative Modeling via Penalized Optimal Transport Network
by: Lu, Wenhui Sophia, et al.
Published: (2024)

Leveraging Optimal Transport for Distributed Two-Sample Testing: An Integrated Transportation Distance-based Framework
by: Lin, Zhengqi, et al.
Published: (2025)

A Nonparametric Bayes Approach to Online Activity Prediction
by: Beraha, Mario, et al.
Published: (2024)

Vertical Consensus Inference for High-Dimensional Random Partition
by: Nguyen, Khai, et al.
Published: (2026)

Nonparametric IPSS: Fast, flexible feature selection with false discovery control
by: Melikechi, Omar, et al.
Published: (2024)

Nonparametric Linear Discriminant Analysis for High Dimensional Matrix-Valued Data
by: Oh, Seungyeon, et al.
Published: (2025)

Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles
by: Szwagier, Tom, et al.
Published: (2025)

Nonparametric efficient inference for network quantile causal effects under partial interference
by: Cheng, Chao, et al.
Published: (2026)

Conformal Prediction for Nonparametric Instrumental Regression
by: Kato, Masahiro
Published: (2026)

A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
by: Korsurat, Suppapat, et al.
Published: (2025)

Bayesian Pliable Lasso with Horseshoe Prior for Interaction Effects in GLMs with Missing Responses
by: Mai, The Tien
Published: (2025)

A Nonparametric Adaptive EWMA Control Chart for Binary Monitoring of Multiple Stream Processes
by: Muritala, Faruk, et al.
Published: (2026)

Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data
by: Risser, Mark D., et al.
Published: (2024)

Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
by: Shen, Yixin, et al.
Published: (2025)

A Semiparametric Bayesian Method for Instrumental Variable Analysis with Partly Interval-Censored Time-to-Event Outcome
by: Cui, Elvis Han, et al.
Published: (2025)

Bayesian Federated Inference for regression models based on non-shared multicenter data sets from heterogeneous populations
by: Jonker, Marianne A, et al.
Published: (2024)

Downscaling land surface temperature data using edge detection and block-diagonal Gaussian process regression
by: Dandapanthula, Sanjit, et al.
Published: (2026)

Binary AddiVortes: (Bayesian) Additive Voronoi Tessellations for Binary Classification with an application to Predicting Home Mortgage Application Outcomes
by: Stone, Adam J., et al.
Published: (2025)

Adaptive Gaussian Process Search for Simulation-Based Sample Size Estimation in Clinical Prediction Models: Validation of the pmsims R Package
by: Olaniran, Oyebayo Ridwan, et al.
Published: (2026)

A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
by: Fazeli-Asl, Forough, et al.
Published: (2023)

A Bayesian Adaptive Latent Mixture Model for Zero-Inflated Weighted Brain Connectome Analysis
by: Huang, Hsin-Hsiung, et al.
Published: (2026)

Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
by: Zeng, Cheng, et al.
Published: (2025)

Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis
by: Zhu, Haonan, et al.
Published: (2025)

Causal Judge Evaluation: Calibrated Surrogate Metrics for LLM Systems
by: Landesberg, Eddie, et al.
Published: (2025)

Tail-adaptive Bayesian shrinkage
by: Lee, Se Yoon, et al.
Published: (2020)

A Copula Graphical Model for Multi-Attribute Data using Optimal Transport
by: Zhang, Qi, et al.
Published: (2024)

Prognostics of Multisensor Systems with Unknown and Unlabeled Failure Modes via Bayesian Nonparametric Process Mixtures
by: Fu, Kani, et al.
Published: (2026)

Mixture of Finite Mixtures Model for Basket Trial
by: Geng, Junxian, et al.
Published: (2020)