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Oral
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Tue 5:00 |
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks Jiaojiao Fan · Amirhossein Taghvaei · Yongxin Chen |
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Spotlight
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Tue 5:20 |
Outlier-Robust Optimal Transport Debarghya Mukherjee · Aritra Guha · Justin Solomon · Yuekai Sun · Mikhail Yurochkin |
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Spotlight
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Tue 5:25 |
Dataset Dynamics via Gradient Flows in Probability Space David Alvarez-Melis · Nicolo Fusi |
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Spotlight
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Tue 5:30 |
Sliced Iterative Normalizing Flows Biwei Dai · Uros Seljak |
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Spotlight
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Tue 5:35 |
Low-Rank Sinkhorn Factorization Meyer Scetbon · Marco Cuturi · Gabriel Peyré |
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Spotlight
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Tue 5:40 |
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation Kilian Fatras · Thibault Séjourné · Rémi Flamary · Nicolas Courty |
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Spotlight
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Tue 5:45 |
Making transport more robust and interpretable by moving data through a small number of anchor points Chi-Heng Lin · Mehdi Azabou · Eva Dyer |
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Spotlight
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Tue 6:20 |
Projection Robust Wasserstein Barycenters Minhui Huang · Shiqian Ma · Lifeng Lai |
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Spotlight
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Tue 6:45 |
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More Johannes Klicpera · Marten Lienen · Stephan Günnemann |
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Poster
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Tue 9:00 |
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks Jiaojiao Fan · Amirhossein Taghvaei · Yongxin Chen |
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Poster
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Tue 9:00 |
Making transport more robust and interpretable by moving data through a small number of anchor points Chi-Heng Lin · Mehdi Azabou · Eva Dyer |
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Poster
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Tue 9:00 |
Sliced Iterative Normalizing Flows Biwei Dai · Uros Seljak |