#BayesianOptimization
Live, measured metrics for the hashtag #BayesianOptimization from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #bayesianoptimization
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-19 18:26 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-10-19 18:26 UTCNo related tags with measured usage found for #bayesianoptimization.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-19 18:26 UTCEverything below is measured over the latest 6 public posts (spanning ~33625 hours).
Posting hours (UTC)
Languages: English (6)
Avg boosts / post: 0.5
Top of the latest posts
Myself and Yoshua Bengio are hiring a postdoctoral researcher @Mila_Quebec ! For this call, we are prioritizing candidates with experience in reinforcement learning, scientific discovery, or high-impact applications of ML. Apply here (https
One Bayesian loop for minima, saddles, and reaction paths Minimization, dimer/MMF, and NEB are one six-step Bayesian optimization loop. They differ only in the inner target and the acquisition rule. GP with gradients: about 10x fewer electr
Professor Jin Xu (East China Normal University) will give a talk on 17 December on Bayesian Optimization via Exact Penalty. 🎓📊 🕒 14:15–15:00 📍 TU Dortmund, M/E 21 EPBO shows how complex equality and resource constraints can be solved mo
#bayesianoptimization across platforms
every network with a public tag surfaceFollow #bayesianoptimization straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/bayesianoptimization