Imagen de Portada

Dirichlet Scale Mixture Priors for Bayesian Neural Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Arnstad, August, Rønneberg, Leiv, Storvik, Geir
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Primary: 62F15 Secondary: 62J02, 68T05
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bayesian--AI Fusion for Epidemiological Decision Making: Calibrated Risk, Honest Uncertainty, and Hyperparameter Intelligence
por: Chatterjee, Debashis
Publicado: (2025)

Causality as the Statistical Conscience of Artificial Intelligence: From Pearl's Ladder to Trustworthy Machines
por: Fokoué, Ernest
Publicado: (2026)

An Efficient Approach to Regression Problems with Tensor Neural Networks
por: Li, Yongxin, et al.
Publicado: (2024)

How Regularization Terms Make Invertible Neural Networks Bayesian Point Estimators
por: Heilenkötter, Nick
Publicado: (2025)

A Special Case of Quadratic Extrapolation Under the Neural Tangent Kernel
por: Kim, Abiel
Publicado: (2025)

Parametric Constraints for Bayesian Knowledge Tracing from First Principles
por: Shchepakin, Denis, et al.
Publicado: (2023)

FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning
por: Slessor, Jordan, et al.
Publicado: (2024)

Fast Mixing of Data Augmentation Algorithms: Bayesian Probit, Logit, and Lasso Regression
por: Lee, Holden, et al.
Publicado: (2024)

Deep Neural Networks for Doubly Robust Estimation with Nonprobability Survey Samples
por: Dai, Yufang, et al.
Publicado: (2026)

A Bayesian cluster validity index
por: Wiroonsri, Nathakhun, et al.
Publicado: (2024)

Model Assessment and Selection under Temporal Distribution Shift
por: Han, Elise, et al.
Publicado: (2024)

Design-Conditional Prior Elicitation for Dirichlet Process Mixtures: A Unified Framework for Cluster Counts and Weight Control
por: Lee, JoonHo
Publicado: (2026)

Bayesian measures of leverage and influence
por: Plummer, Martyn
Publicado: (2025)

A Bayesian approach to functional regression: theory and computation
por: Berrendero, José R., et al.
Publicado: (2023)

FBMS: An R Package for Flexible Bayesian Model Selection and Model Averaging
por: Frommlet, Florian, et al.
Publicado: (2025)

Interaction Decomposition of prediction function
por: Iwasawa, Hirokazu, et al.
Publicado: (2024)

Flexible Bayesian Multiple Comparison Adjustment Using Dirichlet Process and Beta-Binomial Model Priors
por: Bergh, Don van den, et al.
Publicado: (2022)

Optimizing Data Augmentation through Bayesian Model Selection
por: Matymov, Madi, et al.
Publicado: (2025)

Testing-driven Variable Selection in Bayesian Modal Regression
por: Duan, Jiasong, et al.
Publicado: (2025)

Bayesian Joint Modeling of Interrater and Intrarater Reliability with Multilevel Data
por: Hawila, Nour, et al.
Publicado: (2024)

WTNN: Weibull-Tailored Neural Networks for survival analysis
por: Rives, Gabrielle, et al.
Publicado: (2025)

A General Bayesian Nonparametric Approach for Estimating Population-Level and Conditional Causal Effects
por: Hur, Yongseok, et al.
Publicado: (2025)

Projection predictive variable selection for discrete response families with finite support
por: Weber, Frank, et al.
Publicado: (2023)

metabeta -- A fast neural model for Bayesian mixed-effects regression
por: Kipnis, Alex, et al.
Publicado: (2025)

Conformal e-prediction
por: Vovk, Vladimir
Publicado: (2020)

Posterior Bayesian Neural Networks with Dependent Weights
por: Apollonio, Nicola, et al.
Publicado: (2025)

Quantitative Error Bounds for Scaling Limits of Stochastic Iterative Algorithms
por: Wang, Xiaoyu, et al.
Publicado: (2025)

Generalized Functional ANOVA in Closed-Form: A Unified View of Additive Explanations
por: Ferrere, Baptiste, et al.
Publicado: (2026)

Bayesian taut splines for estimating the number of modes
por: Chacón, José E., et al.
Publicado: (2023)

Order selection in GARMA models for count time series: a Bayesian perspective
por: Lastra, Katerine Zuniga, et al.
Publicado: (2024)

Spectral Algorithms under Covariate Shift
por: Fan, Jun, et al.
Publicado: (2025)

Two-Step Mixed-Type Multivariate Bayesian Sparse Variable Selection with Shrinkage Priors
por: Wang, Shao-Hsuan, et al.
Publicado: (2022)

On Bayesian Softmax-Gated Mixture-of-Experts Models
por: Bariletto, Nicola, et al.
Publicado: (2026)

Bayesian Modeling of Collatz Stopping Times: A Probabilistic Machine Learning Perspective
por: Bonacorsi, Nicolò, et al.
Publicado: (2026)

Evidence Slopes and Effective Dimension in Singular Linear Models
por: Rao, Kalyaan
Publicado: (2026)

Universal Adaptive Environment Discovery
por: Matymov, Madi, et al.
Publicado: (2025)

Sparse maximum likelihood estimation for regression models
por: Tsao, Min
Publicado: (2024)

Inductive randomness predictors: beyond conformal
por: Vovk, Vladimir
Publicado: (2025)

Toward design-based inference for data integration
por: Čiginas, Andrius, et al.
Publicado: (2026)

Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression
por: Das, Abhinav, et al.
Publicado: (2024)