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Author

Maximilian Schiffer

3 papers indexed here

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#artificial intelligence Preprint Oct 2026

SHPRR: An Algorithm for Pure Exploration under Constrained Regret

Best Arm Identification (BAI) conventionally measures the cost of experimentation by the number of samples collected. In many operational settings, however, the cost of exploration relative to a trusted baseline already in place is equally important. We study BAI under both a fixed sampling horizon and a regret budget....

Georgina Nouli, Flore Sentenac, Maximilian Schiffer · 0 citations
#machine learning Preprint Sep 2026

Annealed Sinkhorn with Momentum: Certified Unregularized Optimal Transport in Linear Memory

Overrelaxed Bregman Douglas-Rachford splitting is introduced, which combines annealing and overrelaxed scaling within a single recursion and a primal-dual certificate for both methods that can be evaluated in linear memory without transport plan construction, thus providing a computable stopping rule.

Samuel J. K. Chin, Maximilian Schiffer · 0 citations
#artificial intelligence Preprint May 2026

Neural Cluster First, Route Second: Capacitated Vehicle Routing via Differentiable Optimal Transport

Neural Cluster-First--Route-Second (CFRS), a neural extension of the Fisher--Jaikumar framework that predicts seed-selection scores and customer-to-cluster assignment costs non-autoregressively and respects the three symmetries of the symmetric Euclidean CVRP, is introduced.

Samuel J. K. Chin, Maximilian Schiffer · 0 citations

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