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Optimal transport (OT) and maximum mean discrepancies (MMD) are now routinely used in machine learning to compare probability measures.
On the transfer of masses (in Russian)
L. Kantorovich · 1942
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Lebesgue spaces of differentiable functions
A. Calderón · 1961
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The speed of mean glivenko-cantelli convergence
R. Dudley · 1969
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Rademacher and gaussian complexities: Risk bounds and structural results
P. L. Bartlett and S. Mendelson · 2002
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Approximate bayesian computation in population genetics
M. A. Beaumont, W. Zhang, and D. J. Balding · 2002
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Gradient flows in metric spaces and in the space of probability measures
L. Ambrosio, N. Gigli, and G. Savaré · 2006
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A kernel method for the two-sample-problem
A. Gretton, K. Borgwardt, M. Rasch, B. Schölkopf, and A. Smola · 2006
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On the empirical estimation of integral probability metrics
B. Sriperumbudur, K. Fukumizu, A. Gretton, B. Schoelkopf, and G. Lanckriet · 2012
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Sinkhorn distances: Lightspeed computation of optimal transport
M. Cuturi · 2013
Cited alongside, same era.
Domain adaptation with regularized optimal transport
N. Courty, R. Flamary, and D. Tuia · 2014
Cited alongside, same era.
Learning with a Wasserstein loss
C. Frogner, C. Zhang, H. Mobahi, M. Araya, and T. Poggio · 2015
Cited alongside, same era.
From word embeddings to document distances
M. Kusner, Y. Sun, N. Kolkin, and K. Q. Weinberger · 2015
Cited alongside, same era.
Generative moment matching networks
Y. Li, K. Swersky, and R. Zemel · 2015
Cited alongside, same era.
Entropic and displacement interpolation: a computational approach using the hilbert metric
Y. Chen, T. Georgiou, and M. Pavon · 2016
Cited alongside, same era.
J. Bigot, E. Cazelles, and N. Papadakis · 2017
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Convergence of entropic schemes for optimal transport and gradient flows
G. Carlier, V. Duval, G. Peyré, and B. Schmitzer · 2017
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MMD GAN: Towards deeper understanding of moment matching network
C.-L. Li, W.-C. Chang, Y. Cheng, Y. Yang, and B. Póczos · 2017
Later among the works it cites.
On wasserstein two-sample testing and related families of nonparametric tests
A. Ramdas, N. G. Trillos, and M. Cuturi · 2017
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J. Weed and F. Bach · 2017
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Stochastic optimization for large-scale optimal transport
A. Genevay, M. Cuturi, G. Peyré, and F. Bach · 2016
Cited alongside, same era.
M. Arjovsky, S. Chintala, and L. Bottou · 2017
Cited alongside, same era.
Later among the works it cites.
Learning generative models with sinkhorn divergences
A. Genevay, G. Peyre, and M. Cuturi · 2018
Closest in time.
Improving GANs using optimal transport
T. Salimans, H. Zhang, A. Radford, and D. Metaxas · 2018
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