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ICLR 2020: Yann LeCun and Energy-Based Models

Machine Learning Street Talk (MLST)

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Challenges in Probabilistic Model Normalization

This chapter explores the complexities of probabilistic models and their inherent limitations in accurately representing data distributions. It addresses the challenges of global normalization and the balancing act between achieving smooth probability distributions and effective regularization.

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