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Learning+Density flows
Natural gradient:
(i) Amari, Natural gradient works efficient in learning; Ny et.al.
Information geometry;
(ii) ADAM, KFAC etc;
(iii) Li, Transport information geometry I, II.
Learning:
(i) Li, Guido, Chen, Natural gradient via optimal transport I, II, Ricci
curvature of parametric statistics via optimal transport, IG;
(ii) Lin, Li, Osher, Guido, Wasserstein proximal of GANs; Natural affine
proximal learning, GSI;
(iii) Abel, Gretton, Li, Guido, Kernelized Wasserstein Natural Gradient,
ICLR, 2020;
(iv) Lars, Osher, Li, Levon, Samy, A machine learning framework for
mean field games, PNAS, 2020;
(v) Lin, Samy, Li, Levon, Osher, APAC net: Neural primal dual methods
for mean field games, 2020;
(vi) Liu, Li, Zha, Zhou, Neural parametric Fokker-Planck equations.
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