Experimental browser for the Atmosphere
Loading post...
{ "uri": "at://did:plc:illw2xdfvqbstfiyn33jfjpw/app.bsky.feed.like/3lnkflvs3l72r", "cid": "bafyreigoqnn3tjiahqigpwarerobw67kgexutypjgp4woiioyusp2p57em", "value": { "$type": "app.bsky.feed.like", "subject": { "cid": "bafyreif76pogjndi62co7tp3uwtbekstpv6a3ul62dwhw5rm5i3aau5aam", "uri": "at://did:plc:u5rvn4yqdpjn7wnpupzln3ka/app.bsky.feed.post/3ln6oiygqik2j" }, "createdAt": "2025-04-24T09:31:59.499Z" } }
Understanding causes is key to science. Finite observational data alone isn't enough. While Bayes offers a framework to deal with this, the calculations are often intractable. We introduce a method to accurately approximate the posterior over causal structures. #ICLR2025 🧵1/15
Apr 19, 2025, 5:39 PM