Search Results for author: Philipp Baumann

Found 2 papers, 2 papers with code

PCCC: The Pairwise-Confidence-Constraints-Clustering Algorithm

1 code implementation29 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).

Clustering

deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression

2 code implementations6 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.

regression

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