Author

D. Kouri

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Open access Sep 2026

Inference as risk identification

The Bayes posterior solves the variational problem of maximizing the expected likelihood of the data minus the Kullback–Leibler divergence from the prior distribution. We generalize Bayesian inference from this variational point of view. In particular, we introduce a variational inference (VI) problem whose solutions w...

Aurya Javeed, D. Kouri, T. Surowiec · Computational Management Sci... · 0 citations

Preprint Aug 2026

Duality and Error for Predictively Oriented Inference

This work derives a finite-dimensional dual formulation of PrO inference that separates sampling fluctuation, approximation under a divergence budget, regularization, and numerical optimization error and uses an exactly solvable categorical example to show that predictive-risk convergence can imply convergence to a uni...

Aurya Javeed, D. Kouri, Teresa Portone et al. · 0 citations