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3 results for “epistemic uncertainty”
Tracing sources of epistemic uncertainty in deep learning predictions: homo- and hetero-scedastic linearized estimators
A new arXiv preprint introduces two adapted statistical estimators to disentangle aleatoric and epistemic uncertainty sources in deep learning predictions using approximate Fisher Information Matrices, aiming to improve model robustness in real-world applications.
Aug 11, 2026
How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
A new arXiv preprint identifies and characterizes two distinct failure regimes of Bayesian causal discovery methods when applied to linear Gaussian models with additive latent confounding between exactly two observed variables, showing that increasing sample size lowers the correlation threshold at which spurious edges are favoured.
Jul 13, 2026
Verifiable Rewards for Calibrated Probabilistic Forecasting
Researchers propose a new approach to verifiable rewards for calibrated probabilistic forecasting in reinforcement learning.
Published Jul 2, 2026 · Analyzed Jul 5, 2026