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07/13/2020
Model Fusion with Kullback–Leibler Divergence
We propose a method to fuse posterior distributions learned from heterog...
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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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11/05/2019
Alleviating Label Switching with Optimal Transport
Label switching is a phenomenon arising in mixture model posterior infer...
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06/26/2019
Hierarchical Optimal Transport for Document Representation
The ability to measure similarity between documents enables intelligent ...
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09/19/2018
Dynamical Optimal Transport on Discrete Surfaces
We propose a technique for interpolating between probability distributio...
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05/18/2018
Wasserstein Coresets for Lipschitz Costs
Sparsification is becoming more and more relevant with the proliferation...
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02/15/2018
Stochastic Wasserstein Barycenters
We present a stochastic algorithm to compute the barycenter of a set of ...
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05/21/2017
