We want to thank all the speakers and participants.
Accepted Posters
Andrew Carr, Jared Nielson and David Wingate, Wasserstein Neural Processes
Quentin Berthet and Jonathan Niles-Weed, Estimation of smooth densities in Wasserstein distance
Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Hao Wang, Bangjie Liu and Lawrence Carin, Improving Zero-Shot Learning via Optimal Transport
David Alvarez-Melis, Youssef Mroueh and Tommi Jaakkola, Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic spaces
Georgios Balikas and Ioannis Partalas, Wasserstein distances for evaluating cross-lingual embeddings
Rémi Flamary, Karim Lounici and André Ferrari, Concentration bounds for linear Monge mapping estimation
Dirk Lorenz and Hinrich Mahler, Orlicz-space regularization for optimal transport and algorithms for quadratic regularization
Elsa Cazelles, Arnaud Robert and Felipe Tobar, The Wasserstein Distance for Time Series Analysis in the Fourier Domain
John Lee, Nicholas Bertrand and Christopher Rozell, Parallel Unbalanced Optimal Transport Regularization for Imaging
John Lee, Max Dabagia, Eva Dyer and Christopher Rozell, Hierarchical Optimal Transport for Multimodal Distribution Alignment
John Lee and Christopher Rozell, A General ADMM Framework for Optimal Transport Regularized Problems
Lingxuan Shao, Fang Yao and Chunlin Ji, Linear Regression under Wasserstein Distance
Ashok Makkuva, Amirhossein Taghvaei, Sewoong Oh and Jason Lee, Optimal transport mapping via input convex neural networks
Esteban G. Tabak, Giulio Trigila and Wenjun Zhao, Data Driven Conditional Optimal Transport
Thibault Séjourné, Jean Feydy, François-Xavier Vialard, Alain Trouvé and Gabriel Peyré, Sinkhorn Divergences for Unbalanced Optimal Transport
Youssef Mroueh, Wasserstein Style Transfer
Guillermo Ortiz-Jimenez, Mireille El Gheche, Effrosyni Simou, Hermina Petric Maretic and Pascal Frossard, CDOT: Continuous Domain Adaptation using Optimal Transport
Levon Nurbekyan, Alexander Iannantuono and Adam Oberman, No-collision Transportation Maps
Samuel Cohen and Dino Sejdinovic, On the Gromov-Wasserstein distance and Coupled Deep Generative Models
Christian Bock, Matteo Togninalli, Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck and Karsten Borgwardt, A Wasserstein Subsequence Kernel for Time Series
Anthony Tompkins, Ransalu Senanayake and Fabio Ramos, Parameter Optimal Transport for Robotic Mapping
Alex Lin, Yonatan Dukler, Wuchen Li and Guido Montufar, Wasserstein Diffusion Tikhonov Regularization
Sofien Dhouib and Ievgen Redko, On exploring the robust formulation of optimal transport
François-Pierre Paty, Alexandre d'Aspremont and Marco Cuturi, Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials
Konstantin Mishchenko, Sinkhorn Algorithm as a Special Case of Stochastic Mirror Descent
Max Dabagia and Eva Dyer, Barycenters in the brain: An optimal transport approach to modeling connectivity
Chaosheng Dong and Bo Zeng, Wasserstein Distributionally Robust Inverse Multiobjective Optimization
Liang Mi, Wen Zhang and Yalin Wang, Regularized Wasserstein Means for Aligning Distributional Data
Tudor Manole, Sivaraman Balakrishnan and Larry Wasserman, Minimax Confidence Intervals for the Sliced Wasserstein Distance
Kyle Swanson, Lili Yu and Tao Lei, Interpretable Text Matching by Learning a Constrained Alignment
Yihe Dong, Piotr Indyk, Ilya Razenshteyn and Tal Wagner, Scalable Nearest Neighbor Search for Optimal Transport
Mukul Bhutani, Thomas Magelinski and Zico Kolter, Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport
Yihe Dong, Yu Gao, Richard Peng, Ilya Razenshteyn and Saurabh Sawlani, A Study of Performances of Optimal Transport
Zihao Wang, Yong Zhang and Hao Wu, Cosine Sentence Similarity Meets Optimal Transport
Pierre Bréchet, Tao Wu, Thomas Möllenhoff and Daniel Cremers, Informative GANs via Structured Regularization of Optimal Transport
Sidak Pal Singh and Martin Jaggi, Structure-Aware Model Averaging via Optimal Transport
Etienne Boursier and Vianney Perchet, Trade-off privacy/utility through the lens of optimal transport
Alex Delalande and Quentin Mérigot, Linearization of the 2-Wasserstein space and stability of optimal transport maps