Image de couverture de livre

Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dietrich, Stefan, Rodemann, Julian, Jansen, Christoph
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Statistics Theory Methodology 62C12 62C10 I.2.6; G.3
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Empirical Decision Theory
par: Jansen, Christoph, et autres
Publié: (2025)

Conformal Prediction = Bayes?
par: Datta, Jyotishka, et autres
Publié: (2025)

Compound decisions and empirical Bayes via Bayesian nonparametrics
par: Ignatiadis, Nikolaos, et autres
Publié: (2026)

Higher-Order Equilibrium Tracking for EM-Compressible Online Estimation
par: Li, ZhiMing, et autres
Publié: (2026)

Polynomial Log-Marginals and Tweedie's Formula : When Is Bayes Possible?
par: Datta, Jyotishka, et autres
Publié: (2025)

When to Trust Confidence Thresholding: Calibration Diagnostics for Pseudo-Labelled Regression
par: Kurbucz, Marcell T.
Publié: (2026)

Normal approximations in nonparametric empirical Bayes
par: Chen, Jiafeng, et autres
Publié: (2026)

Demystifying Functional Random Forests: Novel Explainability Tools for Model Transparency in High-Dimensional Spaces
par: Maturo, Fabrizio, et autres
Publié: (2024)

Inconsistency and Acausality in Bayesian Inference for Physical Problems
par: Mosegaard, Klaus, et autres
Publié: (2024)

Robust Bayes Acts under Prior Perturbations: Contamination, Stability, and Selection Paths
par: Jansen, Christoph, et autres
Publié: (2026)

Is Causality Necessary for Efficient Portfolios? A Computational Perspective on Predictive Validity and Model Misspecification
par: Dominguez, Alejandro Rodriguez
Publié: (2025)

Posterior Contraction rate and Asymptotic Bayes Optimality for one-group shrinkage priors in sparse normal means problem
par: Paul, Sayantan, et autres
Publié: (2022)

From Tail Universality to Bernstein-von Mises: A Unified Statistical Theory of Semi-Implicit Variational Inference
par: Plummer, Sean
Publié: (2025)

Conservative Decisions with Risk Scores
par: Wei, Yishu, et autres
Publié: (2025)

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

Semiparametric Uncertainty Quantification via Isotonized Posterior for Deconvolutions
par: Gili, Francesco, et autres
Publié: (2026)

Efficient Semiparametric Inference for Distributed Data with Blockwise Missingness
par: Huang, Jingyue, et autres
Publié: (2025)

Bayesian Generalized Nonlinear Models Offer Basis Free SINDy With Model Uncertainty
par: Hubin, Aliaksandr
Publié: (2025)

Statistical Multicriteria Benchmarking via the GSD-Front
par: Jansen, Christoph, et autres
Publié: (2024)

Optimal Inference of the Mean Outcome under Optimal Treatment Regime
par: Xu, Shuoxun, et autres
Publié: (2025)

A new adaptive local polynomial density estimation procedure on complicated domains
par: Bertin, Karine, et autres
Publié: (2023)

On the spherical cardioid distribution and its goodness-of-fit
par: García-Portugués, Eduardo
Publié: (2026)

Entropy-Regularized Inference: A Predictive Approach
par: Polson, Nicholas G., et autres
Publié: (2025)

Calibrated Counterfactual Conformal Fairness ($C^3F$): Post-hoc, Shift-Aware Coverage Parity via Conformal Prediction and Counterfactual Regularization
par: Alpay, Faruk, et autres
Publié: (2025)

Integration of Structural Equation Modeling and Bayesian Networks in the Context of Causal Inference: A Case Study on Personal Positive Youth Development
par: Benitez, Edgar, et autres
Publié: (2024)

Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks
par: Høyheim, Eirik, et autres
Publié: (2025)

FBMS: An R Package for Flexible Bayesian Model Selection and Model Averaging
par: Frommlet, Florian, et autres
Publié: (2025)

Inference with Sequential Monte-Carlo Computation of $p$-values: Fast and Valid Approaches
par: Stoepker, Ivo V., et autres
Publié: (2024)

Nonparametric Linear Feature Learning in Regression Through Regularisation
par: Follain, Bertille, et autres
Publié: (2023)

Asymptotic Consistency and Generalization in Hybrid Models of Regularized Selection and Nonlinear Learning
par: Galvão, Luciano Ribeiro, et autres
Publié: (2025)

Iterative Exploration-Driven Sparse SDP Clustering via Thompson Sampling
par: Mun, Jongmin, et autres
Publié: (2025)

Cheap Permutation Testing
par: Domingo-Enrich, Carles, et autres
Publié: (2025)

Bayesian taut splines for estimating the number of modes
par: Chacón, José E., et autres
Publié: (2023)

Generalized Naive Bayes
par: Kovács, Edith Alice, et autres
Publié: (2024)

Deep learning with missing data
par: Ma, Tianyi, et autres
Publié: (2025)

Amortized Variational Inference for Logistic Regression with Missing Covariates
par: Cherifi, M., et autres
Publié: (2026)

Stochastic Processes with Modified Lognormal Distribution Featuring Flexible Upper Tail
par: Hristopulos, Dionissios T., et autres
Publié: (2025)

A test for counting sequences of integer-valued autoregressive models
par: Goto, Yuichi, et autres
Publié: (2023)

DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning
par: Tirumala, Aditya Puttaparthi
Publié: (2025)

Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement
par: Jansen, Christoph, et autres
Publié: (2023)