Overview: In this note, I log some basic observations about diffusion-based generative models.
8/14/2023Overview: In this note, I describe some aspects of hierarchical structure in MCMC algorithms, and how they can be of theoretical and practical relevance.
8/9/2023Overview: In this note, I prove Hoeffding's inequality from the perspectives of martingales and convex ordering. The Basic Construction Let $-\infty<a<x<b<\infty$, and define a random variable $M$ with law $M\left(x;a,b\right)$ by \begin{align} M=\begin{cases} a & \text{w.p. }\frac{b-x}{b-a}\ b & \text{w.p. }\frac{x-a}{b-a}. \end{cases}
5/22/2023Overview: In this note, I give a quick proof of a nice convexity result. From Moment-Generating Functions to Uniform Continuity Constants A well-known fact in the context of exponential family theory (and / or statistical mechanics) is that for suitable functions $F$, the cumulant-generating function \begin{align} A:\theta\mapsto\log\left(\int\mu\left(\mathrm{d}x\right)\cdot\exp\left(\left\langle \theta,F\left(x\right)\right\rangle \right)\right) \end{align} is convex, modulo a few standard conditions. Less well-known (but perhaps indirectly related?) is that the logarithm of the $C^{\alpha}$ seminorm of a function is also convex! That is, fix a function $F$ and define
5/22/2023