21 citations · 41 across the 16 of their papers we have counts for
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math.OC2021
Approximate solutions of convex semi-infinite optimization problems in finitely many iterations
Jochen Schmid, Miltiadis Poursanidis
We develop two adaptive discretization algorithms for convex semi-infinite optimization, which terminate after finitely many iterations at approximate solutions of arbitrary precis…
stat.ML2021★ 4 cited
Calibrated simplex-mapping classification
Raoul Heese, Jochen Schmid, Michał Walczak +1
We propose a novel methodology for general multi-class classification in arbitrary feature spaces, which results in a potentially well-calibrated classifier. Calibrated classifiers…