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Collaborating Authors

 Daniel Zügner


Expected Probabilistic Hierarchies

Neural Information Processing Systems

Hierarchical clustering has usually been addressed by discrete optimization using heuristics or continuous optimization of relaxed scores for hierarchies. In this work, we propose to optimize expected scores under a probabilistic model over hierarchies.


Expected Probabilistic Hierarchies

Neural Information Processing Systems

Hierarchical clustering has usually been addressed by discrete optimization using heuristics or continuous optimization of relaxed scores for hierarchies. In this work, we propose to optimize expected scores under a probabilistic model over hierarchies.