Author

Athanasios Vlontzos

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Preprint Aug 2026

Incremental Recommendation via Causal Models

This work extends an existing production recommendation model to a causal architecture using holdback data that is already collected as part of routine experimentation infrastructure, and shows that joint training with holdback data improves calibration of the treated head relative to the production baseline, and argue...

Athanasios Vlontzos, David Gustafsson, Michael O'Riordan et al. · 0 citations

Preprint Jul 2026

Entangled by Design: Spurious Intra-Variable Signal Routing in Tabular In-Context Learners

It is proved that under ridge ICL, a linear in-context learner, this routing is unavoidable regardless of context size; TabPFN, a state-of-the-art pretrained tabular ICL model, shows qualitatively consistent behaviour empirically, and two lightweight mitigations are introduced.

Athanasios Vlontzos, G. Papanastasiou, Bernhard Kainz et al. · 0 citations

Preprint Jul 2026

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios

The Normalised Sensitivity Ratio (NSR) is introduced, a post-hoc, model-agnostic diagnostic for this question under a structured-shift regime: environments differ primarily in the mean of spurious features while the causal mechanism and causal marginals remain stable, as in multi-site clinical data or multi-batch genom...

Athanasios Vlontzos, G. Papanastasiou, Bernhard Kainz et al. · 0 citations