232 citations · 453 across the 44 of their papers we have counts for
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cs.LG2019★ 18 cited
Communication trade-offs for synchronized distributed SGD with large step size
Kumar Kshitij Patel, Aymeric Dieuleveut
Synchronous mini-batch SGD is state-of-the-art for large-scale distributed machine learning. However, in practice, its convergence is bottlenecked by slow communication rounds betw…
cs.LG2019★ 232 cited
Unsupervised Scalable Representation Learning for Multivariate Time Series
Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi
Time series constitute a challenging data type for machine learning algorithms, due to their highly variable lengths and sparse labeling in practice. In this paper, we tackle this…