Imagine zooming into the fabric of spacetime itself, magnifying it by a factor of $10^{35}$—from human scales down to the Planck length of approximately $1.6 \times 10^{-35}$ meters. What would...
Gradient descent is the workhorse of modern machine learning, but vanilla gradient descent often struggles with challenges like saddle points, ravines, and local minima. Momentum-based methods address these limitations through...
Last week I came across a fascinating research paper, “Tail Protection for Long Investors: Trend Convexity at Work” by researchers from Capital Fund Management. As someone who’s weathered multiple market...
