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stat.ME2026
Posterior uncertainty for kernel density estimates
Dennis Christensen, Torjus Svardal, Leiv Rønneberg +1
Recent work in predictive Bayesian inference has enabled novel Bayesian interpretations of many well-known stochastic one-step-ahead predictive algorithms. In this paper, we study…
cs.AI2026
Computing Conditional Shapley Values Using Tabular Foundation Models
Lars Henry Berge Olsen, Dennis Christensen
Shapley values have become a cornerstone of explainable AI, but they are computationally expensive to use, especially when features are dependent. Evaluating them requires approxim…