Author

George Iosifidis

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#machine learning Preprint Nov 2026

Dynamic Optimistic Constrained OCO with Memory via Delay Equivalence

This work establishes the first bounds that adapt to both environment non-stationarity (path length $P_T$) and prediction accuracy, while lifting previous restrictive assumptions such as functional separability, and ensures sublinear worst-case guarantees that improve with prediction accuracy.

Mohammed Abdullah, George Iosifidis, S. Elayoubi et al. · 0 citations

#machine learning Preprint Sep 2026

Dynamic Regret in Online Convex Optimization with Indicator Switching Costs

A meta-learning framework: a set of randomized lazy FTRL base learners restarted at dyadic time scales, aggregated by a movement-aware master that mixes their proposal densities and samples actions via maximal coupling of consecutive mixtures is proposed.

N. Mhaisen, George Iosifidis · 1 citation