#gaussian-process

2 articles

01 ·Probability & Statistics·★ MEMBER·PAPER·12 min read Kernel Methods and Gaussian Processes — The Champions Before Neural Nets Before deep learning took over, kernel SVMs held the crown in classification. This article builds the whole story from zero: the kernel trick that makes lifting into high dimensions free, Gaussian processes that put a probability distribution over functions, and Bayesian optimization that turns uncertainty into a weapon. 02 ·Paper Deep-Dives·★ MEMBER·PAPER·13 min read Paper Deep Dive — Large Discovery Models: giving an LLM a value signal for what to try next An LLM can propose candidates but cannot reliably grade its own proposals. Large Discovery Models tilts the LLM's proposal distribution by an acquisition value drawn from a Gaussian process surrogate, so search keeps working when every evaluation is expensive. From the equations to the reported numbers.