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source/content/posts/Understanding KL-Divergence.md

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 title: 'Understanding KL-Divergence'
-date: 2024-09-12T19:38:44-04:00
+date: 2024-09-12T20:00:00-04:00
 math: katex
 categories: [Statistics, Information Theory]
 tags: [Bayesian Statistics, KL-Divergence, Information Theory, Entropy, Cross-Entropy, Surprisal, Kullback-Leibler Divergence, Probability, Statistics, Machine Learning, Deep Learning, Feature Learning, Interpolation, Generalization, Bias-Variance Tradeoff, Regularization, Data Augmentation, Architectural Choices, Adversarial Training, Multi-task Learning, Contrastive Learning, Causal Learning, Out-of-distribution Testing, Adversarial Testing, Interpretability, Probing Tasks, Few-shot Learning]