Optimal Transport

A Framework for Optimal Matching for Causal Inference AISTATS 2017 A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization ICML 2017 Joint distribution optimal transportation for domain adaptation NeurIPS 2017 Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NeurIPS 2017 Multilevel Clustering via Wasserstein Means ICML 2017 Multiscale Strategies for Computing Optimal Transport JMLR 2017 Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration NeurIPS 2017 Parallel Streaming Wasserstein Barycenters NeurIPS 2017 Gromov-Wasserstein Averaging of Kernel and Distance Matrices ICML 2016 Mapping Estimation for Discrete Optimal Transport NeurIPS 2016 Optimal spectral transportation with application to music transcription NeurIPS 2016 Shape Analysis With Hyperbolic Wasserstein Distance CVPR 2016 Sliced Wasserstein Kernels for Probability Distributions CVPR 2016 Stochastic Optimization for Large-scale Optimal Transport NeurIPS 2016 Learning with a Wasserstein Loss NeurIPS 2015 Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric NeurIPS 2015 Constrained convex minimization via model-based excessive gap NeurIPS 2014 Fast Computation of Wasserstein Barycenters ICML 2014 A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models ICCV 2013 Computing Diffeomorphic Paths for Large Motion Interpolation CVPR 2013 Data-driven Distributionally Robust Polynomial Optimization NeurIPS 2013 Sinkhorn Distances: Lightspeed Computation of Optimal Transport NeurIPS 2013 Learning Probability Measures with respect to Optimal Transport Metrics NeurIPS 2012 Information Bottleneck for Gaussian Variables JMLR 2005