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stat.ML2020
Missing Data Imputation using Optimal Transport
Boris Muzellec, Julie Josse, Claire Boyer +1
Missing data is a crucial issue when applying machine learning algorithms to real-world datasets. Starting from the simple assumption that two batches extracted randomly from the s…
stat.ML2018
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions
Boris Muzellec, Marco Cuturi
Embedding complex objects as vectors in low dimensional spaces is a longstanding problem in machine learning. We propose in this work an extension of that approach, which consists…