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