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cs.LG2018
Low-Complexity Data-Parallel Earth Mover's Distance Approximations
Kubilay Atasu, Thomas Mittelholzer
The Earth Mover's Distance (EMD) is a state-of-the art metric for comparing discrete probability distributions, but its high distinguishability comes at a high cost in computationa…
cs.LG2017
Large-Scale Stochastic Learning using GPUs
Thomas Parnell, Celestine Dünner, Kubilay Atasu +2
In this work we propose an accelerated stochastic learning system for very large-scale applications. Acceleration is achieved by mapping the training algorithm onto massively paral…