Another Critique of Effective Altruism
I've decided to branch out a bit from technical discussions and engage in, as
Scott Aaronson would call it, some metaphysical spouting
[http://www.scottaaronson.com/blog/?cat=12]. The topic
Jacob Steinhardt
Convex Conditions for Strong Convexity
An important concept in online learning and convex optimization is that of
strong convexity: a twice-differentiable function $f$ is said to be strongly
convex with respect to a norm $\|\cdot\|$ if
$z^T\
Convexity counterexample
Here's a fun counterexample: a function $\mathbb{R}^n \to \mathbb{R}$ that is
jointly convex in any $n-1$ of the variables, but not in all variables at once.
The function
Probabilistic Abstractions I
(This post represents research in progress. I may think about these concepts
entirely differently a few months from now, but for my own benefit I'm trying to
exposit on them in
Pairwise Independence vs. Independence
For collections of independent random variables, the Chernoff bound and related
bounds give us very sharp concentration inequalities --- if $X_1,\ldots,X_n$ are
independent, then their sum has a distribution