Abstract: In the context of infinite-horizon general-sum linear quadratic (LQ) games, the convergence of gradient descent remains a significant yet not completely understood issue. While the ...

Abstract: Distributed gradient descent algorithms have come to the fore in modern machine learning, especially in parallelizing the handling of large datasets that are distributed across several ...

I was all set to write a column weighing in on the excellent Helen Andrews piece at Compact about the feminization of our institutions and the damage that’s done — though what I would say is that Alla ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. LDS Church's presidency reveal sparks "hilarious" ...

Theta Capital Management is seeking to raise $200 million for its latest blockchain fund-of-funds, aiming to capitalize on early-stage blockchain opportunities even as venture funding in the sector ...

In the aftermath of Charlie Kirk’s assassination, patrons of Twitter or TikTok or Bluesky or Facebook were treated to spontaneous exultations of glee and celebration. This was not surprising, or new.

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

I fear people are going to stop inviting me to parties. At what should be a happy reception for a new series, or a celebration for Emmy nominations, along I come to start a downer conversation: “The ...