Density Ratio Estimation

Density Ratio Estimation for KL Divergence Minimization between Implicit Distributions featured image
Information Theory

Density Ratio Estimation for KL Divergence Minimization between Implicit Distributions

We show how to approximate the KL divergence (in fact, any f-divergence) between implicit distributions using density ratio estimation by probabilistic classification.

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Louis Tiao
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Contributed Talk: Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference featured image
Generative Adversarial Networks

Contributed Talk: Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference

ICML 2018 Workshop on Theoretical Foundations and Applications of Deep Generative Models (TAGDM), Stockholm.

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Louis Tiao
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Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference featured image
Generative Adversarial Networks

Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference

We derive cycle-consistent adversarial learning (CycleGAN) as a special case of variational inference in a latent-variable model with implicit priors, establishing a Bayesian …

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Louis Tiao
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