183 citations · 474 across the 30 of their papers we have counts for
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stat.ML2019★ 29 cited
On the Complexity of Approximating Multimarginal Optimal Transport
Tianyi Lin, Nhat Ho, Marco Cuturi +1
We study the complexity of approximating the multimarginal optimal transport (MOT) distance, a generalization of the classical optimal transport distance, considered here between $…
stat.ML2019
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms
Nhat Ho, Tianyi Lin, Michael I. Jordan
The filtering-clustering models, including trend filtering and convex clustering, have become an important source of ideas and modeling tools in machine learning and related fields…
stat.ML2017★ 19 cited
Relaxed Wasserstein with Applications to GANs
Xin Guo, Johnny Hong, Tianyi Lin +1
Wasserstein Generative Adversarial Networks (WGANs) provide a versatile class of models, which have attracted great attention in various applications. However, this framework has t…