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Stochastic Deep Networks.

, , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1556-1565. PMLR, (2019)

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The context-tree kernel for strings., and . Neural Networks, 18 (8): 1111-1123 (2005)Stochastic Deep Networks, , and . (2018)cite arxiv:1811.07429.Learning Generative Models with Sinkhorn Divergences., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1608-1617. PMLR, (2018)Multi-subject MEG/EEG source imaging with sparse multi-task regression., , , , and . CoRR, (2019)Geodesic PCA versus Log-PCA of Histograms in the Wasserstein Space., , , , and . SIAM J. Sci. Comput., (2018)Wasserstein regularization for sparse multi-task regression., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1407-1416. PMLR, (2019)Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator., , and . CoRR, (2019)Fast Computation of Wasserstein Barycenters., and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 685-693. JMLR.org, (2014)Mean Reversion with a Variance Threshold., and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 271-279. JMLR.org, (2013)Sample Complexity of Sinkhorn Divergences, , , , and . Proceedings of Machine Learning Research, volume 89 of Proceedings of Machine Learning Research, page 1574--1583. PMLR, (16--18 Apr 2019)