What to do when nothing can be done — The Calm The evening breeze feels slightly cooler on your shoulder today, yet a palatable kind of stillness lingers on the horizon. You almost have an inkling that the birds have begun to subtly disperse, the dogs no longer want to play outdoors. The falling sunset with a surrounding orange glow more…

Every life has a story — An aphorism is a condensed form of writing in which one can find the theme of a novel, the lesson of an age, or a pithy diversion. No aphorism is complete without context, but one may feel free to bring their own. The cheapest way to sedate someone is to…

Ordered out of order — Machine Learning — the algorithmic derivation of a modeled data generating function Artificial Intelligence — a superset that includes machine learning and other conventions of modeling knowledge Supervised Learning — a type of machine learning that relies on the convention of a training phase comparing training data and corresponding labels…

Data types matter — One Looking back on the ICML conference, one of the eye opening takeaways to this author was actually associated with no more than a brief comment by a presenter. In Weinan E’s keynote Towards a Mathematical Theory of Machine Learning [1], he shared a slide commenting on the global minima of…

Stable version release 8.30 — Looking back, the Automunge development process I think was somewhat unique in the field for the sheer pace of iterative developments throughout the multi-year span of focus. It is not unsurprising that in this context the interest of a user base was not exactly what I would consider as compounding…

Distribution-Free Uncertainty Quantification #ICML2022 — Distribution-Free Uncertainty Quantification Workshop Presented at the International Conference on Machine Learning held in Baltimore, MD on July 23, 2022. Workshop Home Page Organizers: Anastasios Angelopoulos (UC Berkely) · Stephen Bates (UC Berkely) · Sharon Yixuan Li (UW Madison) · Ryan Tibshirani (CMU) · Aaditya Ramdas (CMU)

#CVPR2022 “unofficial” poster awards —

Getting from geometric regularization to double descent — Part 1 — Geometric Regularization from Overparameterization Background This essay is meant to document some of the author’s more recent musings on subject of the geometric regularization conjecture, which was a novel (and somewhat speculative) framing of emergent regularization properties that may arise from overparameterized models, explored in some depth in the paper Geometric Regularization from Overparameterization Explains…

Always look on the sunny side of life — I think I invented a new way to cook an egg. Similar to over easy, but the moment before flipping you slightly puncture yolk with the corner of spatula. Results in maintained yolk coherence, but without liquid center. Better on sandwiches. “Over Teaguey” Ingredients Two eggs Pita bread (optionally gluten free) …