1 code implementation • 29 Dec 2022 • Philipp Baumann, Dorit S. Hochbaum
Unlike existing algorithms, our algorithm scales to large-scale instances with up to 60, 000 objects, 100 clusters, and millions of cannot-link constraints (which are the most challenging constraints to incorporate).
2 code implementations • 6 Apr 2021 • David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp Baumann, Lucas Kook, Nadja Klein, Christian L. Müller
In this paper we describe the implementation of semi-structured deep distributional regression, a flexible framework to learn conditional distributions based on the combination of additive regression models and deep networks.