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Mastering GitHub Pages (Jekyll and GitHub Pages)

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Going beyond GitHub Actions for Rogue Scholar

The science blog archive Rogue Scholar depends heavily on GitHub Actions. They are used to trigger content and metadata extraction of new blog posts and to register DOIs for these posts with Crossref. More recently they have also been used to push this content and metadata to the new InvenioRDM-based Rogue Scholar platform. GitHub Actions are workflows that typically operate on the command line.
blog.front-matter.de

Automatically keeping a GitHub fork up to date

We recently setup a departmental GitHub account for Hutton ICS, and one of the things we'll use this for is to showcase projects which ICS staff are contributing to - such as Biopython in my case. To start with we have forked https://github.com/biopython/biopython as https://github.com/huttonics/biopython which we'll use as a read-only mirror - but now we want to keep it up to date with commits pushed to the upstream repository.
blastedbio.blogspot.com

Hawking and Page on the brane

We show that the Hawking-Page phase transition of a CFT on AdS_{d-1} weakly coupled to gravity has a dual bulk description in terms of a phase transition between a black string and a thermal gas on AdS_{d}. At even lower temperatures the black string develops a Gregory Laflamme instability, which is dual to black hole evaporation in the boundary theory.
arxiv.org

Small Libraries and GitHub: Applet-Fu

If you've ever needed to deploy Java applets, you may have found the information on best practices scattered, inconsistent, and unreliable. Applet-Fu is a small JavaScript library that makes it easy to deploy applets by taking advantage of Web standards and features already supported by mainstream browsers. More detailed discussion of Applet-Fu is available from the Metamolecular Products Blog and the ChemWriter Best Practices Deployment Page.
depth-first.com

A Short Note of PAGE: Optimal Convergence Rates for Nonconvex Optimization

In this note, we first recall the nonconvex problem setting and introduce the optimal PAGE algorithm (Li et al., ICML'21). Then we provide a simple and clean convergence analysis of PAGE for achieving optimal convergence rates. Moreover, PAGE and its analysis can be easily adopted and generalized to other works. We hope that this note provides the insights and is helpful for future works.
arxiv.org