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cs.LG2023
Variational Prediction
Alexander A. Alemi, Ben Poole
Bayesian inference offers benefits over maximum likelihood, but it also comes with computational costs. Computing the posterior is typically intractable, as is marginalizing that p…
cs.LG2016★ 51 cited
Improved generator objectives for GANs
Ben Poole, Alexander A. Alemi, Jascha Sohl-Dickstein +1
We present a framework to understand GAN training as alternating density ratio estimation and approximate divergence minimization. This provides an interpretation for the mismatche…