Author

Anand N. Vidyashankar

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Preprint Sep 2026

Large Deviations for Controlled Branching Processes: Random Slopes, Harmonic Moments, and Transfer Principles

Let $\{X_n:n\ge0\}$ be a controlled branching process with controls $\phi_n$, and let $N_n=\phi_n(X_n)$ be its progenitor count. We study large deviations of $X_{n+1}/N_n$, $N_n/X_n$, and $X_{n+1}/X_n$, on their natural positive-denominator events, in supercritical and critical regimes. We treat generation-...

Miguel González, C. Minuesa, I. D. del Puerto et al. · 0 citations

#machine learning Preprint Sep 2026

Domain Adaptation with Target Information via Doubly-Anchored Distributionally Robust Optimization

A doubly-anchored DRO framework whose ambiguity set is the intersection of $\phi$-divergence balls centered at the source law and a source-completed target reference law, the latter pairing the target covariate law with the source conditional law is introduced.

D. Kepplinger, Anand N. Vidyashankar · 0 citations