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What is Variational Divergence Minimization Explained about?
The document introduces variational divergence minimization as a method for generative models, highlighting its connection to Generative Adversarial Networks (GANs). It discusses the challenges of estimating unknown probability distributions and defines f-Divergence, including examples like Kullback-Leibler and Jensen-Shannon Divergence. The session concludes with the promise of future discussions on algorithms to minimize these divergences.
- Author
- Tahmid Alam
- Language
- EN