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Episode 28 | Karen Ullrich
A Coding Perspective on Deep Latent Variable Models
Papers and Links:
Karen's Homepage
Google Scholar
Thesis
David MacKay: Information Theory, Inference, and Learning Algorithms
Cover & Thomas: Elements of Information Theory
Keeping Neural Networks Simple by Minimizing the Description Length of the Weights
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Schmidhuber: Driven by Compression Progress
Listen:
The Thesis Review
ยท
[42] Charles Sutton - Efficient Training Methods for Conditional Random Fields