Hacker News Top Stories with Summaries (October 28, 2023)
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<h1> Hacker News Top Stories</h1>
<p>Here are the top stories from Hacker News with summaries for October 28, 2023 :</p>
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When Gradient Descent Is a Kernel Method
Summary: This article discusses how gradient descent can be viewed as a kernel method in solving regression problems. It explores the relationship between gradient descent steps, statistical properties of random functions, and initialization. The analysis relies on a "tangent kernel" and shows that the dynamics of gradient descent can be described in terms of a certain kernel function. The article also highlights the connection between Bayesian inference and gradient descent methods, as well as the benefits of early stopping, implicit regularization, and overparameterization in neural networks.
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Shadow: New browser engine made almost entirely in JavaScript
Summary: Introducing