Is Learning Feasible? Hoeffding Inequality
How probability and Hoeffding’s inequality connect limited training data to learning beyond the training set.
Oscar Guarnizo
Blog
Exploring machine learning, probability, and learning theory, reinforcement learning, representation learning, meta learning, and more.
5 posts
Is Learning Feasible? Generalization Bound
Understanding how sample size, hypothesis-set complexity, and confidence shape the gap between training and generalization error.
Review: Covariance Tensor For Convolutional Neural Networks
A review of covariance tensors and Tucker decomposition for extracting features in convolutional neural networks.
Review: Image2StyleGAN — Embedding An Image Into StyleGAN.
How Image2StyleGAN embeds images into StyleGAN’s latent space for image editing.
A Practical Guide for an Efficient Learning
A practical approach to learning through planning, focused and diffuse thinking, and effective study techniques.
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