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12/16/2019
Incorporating Unlabeled Data into Distributionally Robust Learning
We study a robust alternative to empirical risk minimization called dist...
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05/08/2019
Learning Embeddings into Entropic Wasserstein Spaces
Euclidean embeddings of data are fundamentally limited in their ability ...
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06/12/2018
Approximate inference with Wasserstein gradient flows
We present a novel approximate inference method for diffusion processes,...
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06/17/2015