130 citations · 317 across the 27 of their papers we have counts for
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math.OC2020
Distributed Optimization, Averaging via ADMM, and Network Topology
Guilherme França, José Bento
There has been an increasing necessity for scalable optimization methods, especially due to the explosion in the size of datasets and model complexity in modern machine learning ap…
cs.LG2020★ 3 cited
Variational Wasserstein Barycenters for Geometric Clustering
Liang Mi
We propose to compute Wasserstein barycenters (WBs) by solving for Monge maps with variational principle. We discuss the metric properties of WBs and explore their connections, esp…
cs.LG2020
A Family of Pairwise Multi-Marginal Optimal Transports that Define a Generalized Metric
Liang Mi, Azadeh Sheikholeslami, José Bento
The Optimal transport (OT) problem is rapidly finding its way into machine learning. Favoring its use are its metric properties. Many problems admit solutions with guarantees only…