Machine Learning in Chemistry: Bayesian Reaction Optimization

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Explores optimization methods like gradient descent and subgradients for training machine learning models, including advanced techniques like Adam optimization.

Optimization Techniques: Gradient Descent and Convex Functions

Provides an overview of optimization techniques, focusing on gradient descent and properties of convex functions in machine learning.

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Building Robust Ensembles via Margin Boosting

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