25 citations · 125 across the 27 of their papers we have counts for
3 papers · 1 filter
Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark
Celestine Dünner, Thomas Parnell, Kubilay Atasu +2
In this paper we explore the performance limits of Apache Spark for machine learning applications. We begin by analyzing the characteristics of a state-of-the-art distributed machi…
Scalable and interpretable product recommendations via overlapping co-clustering
Reinhard Heckel, Michail Vlachos, Thomas Parnell +1
We consider the problem of generating interpretable recommendations by identifying overlapping co-clusters of clients and products, based only on positive or implicit feedback. Our…
Primal-Dual Rates and Certificates
Celestine Dünner, Simone Forte, Martin Takáč +1
We propose an algorithm-independent framework to equip existing optimization methods with primal-dual certificates. Such certificates and corresponding rate of convergence guarante…