2.3k citations · 2.5k across the 6 of their papers we have counts for
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cs.LG2020★ 1 cited
The equivalence between Stein variational gradient descent and black-box variational inference
Casey Chu, Kentaro Minami, Kenji Fukumizu
We formalize an equivalence between two popular methods for Bayesian inference: Stein variational gradient descent (SVGD) and black-box variational inference (BBVI). In particular,…
cs.LG2020★ 20 cited
Smoothness and Stability in GANs
Casey Chu, Kentaro Minami, Kenji Fukumizu
Generative adversarial networks, or GANs, commonly display unstable behavior during training. In this work, we develop a principled theoretical framework for understanding the stab…