Co-occurring keywords · papers mentioning both
Papers
Smooth and Sparse Optimal Transport
AISTATS 2018
Stochastic algorithms for entropy-regularized optimal transport problems
AISTATS 2018
Stochastic Wasserstein Barycenters
ICML 2018
Structured Optimal Transport
AISTATS 2018
Wasserstein Variational Inference
NeurIPS 2018
A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization
ICML 2017
Co-clustering through Optimal Transport
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
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis
COLT 2017
Order-Preserving Wasserstein Distance for Sequence Matching
CVPR 2017
Parallel Streaming Wasserstein Barycenters
NeurIPS 2017
Population Matching Discrepancy and Applications in Deep Learning
NeurIPS 2017
Tensor Balancing on Statistical Manifold
ICML 2017
Fast Dictionary Learning with a Smoothed Wasserstein Loss
AISTATS 2016
Gromov-Wasserstein Averaging of Kernel and Distance Matrices
ICML 2016
Mapping Estimation for Discrete Optimal Transport
NeurIPS 2016
MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions
JMLR 2016
Optimal spectral transportation with application to music transcription
NeurIPS 2016
Sliced Wasserstein Kernels for Probability Distributions
CVPR 2016
Stochastic Optimization for Large-scale Optimal Transport
NeurIPS 2016
Supervised Word Mover's Distance
NeurIPS 2016