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<rss version="2.0"><channel><description>PhD in causal machine learning @amlab.bsky.social‬</description><link>https://bsky.app/profile/matyasch.bsky.social</link><title>@matyasch.bsky.social - Mátyás Schubert</title><item><link>https://bsky.app/profile/matyasch.bsky.social/post/3m3unxk6m6s2z</link><description>Estimating causal effects efficiently doesn’t have to mean discovering the entire causal graph! Now you can find the optimal adjustment from only local information using LOAD!&#xA;&#xA;📜 Preprint: arxiv.org/abs/2510.14582&#xA;👾 Code: github.com/Matyasch/load&#xA;🧵 1/8</description><pubDate>23 Oct 2025 15:21 +0000</pubDate><guid isPermaLink="false">at://did:plc:fr7ovaqa6p6ea5h4a3oi2otf/app.bsky.feed.post/3m3unxk6m6s2z</guid></item><item><link>https://bsky.app/profile/matyasch.bsky.social/post/3lp2bhrwqck22</link><description>A little over a week ago, I had the chance to attend #AISTATS and present our poster on SNAP (matyasch.github.io/snap)! Three days of brilliant invited talks and a stream of fascinating papers left me with a much longer reading list about ideas to explore.</description><pubDate>13 May 2025 10:25 +0000</pubDate><guid isPermaLink="false">at://did:plc:fr7ovaqa6p6ea5h4a3oi2otf/app.bsky.feed.post/3lp2bhrwqck22</guid></item><item><link>https://bsky.app/profile/matyasch.bsky.social/post/3lo6qvv2ark2f</link><description>Just arrived in Phuket for #AISTATS2025. Can&#39;t wait to present our poster (in tube) about SNAP 🫰 on day 2, Sunday! Come check it out and let&#39;s chat about scalable causal discovery!&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>02 May 2025 11:47 +0000</pubDate><guid isPermaLink="false">at://did:plc:fr7ovaqa6p6ea5h4a3oi2otf/app.bsky.feed.post/3lo6qvv2ark2f</guid></item><item><link>https://bsky.app/profile/matyasch.bsky.social/post/3ljkmz3cdl22a</link><description>A few weeks ago, I presented SNAP at the wonderful #Bellairs Workshop on Causality in Barbados🐢&#xA;&#xA;This Friday 🫰meets 🤌 as I will get to present SNAP again at the kick-off of the newest season of @causalclub.di.unipi.it! Check out this, and their other amazing upcoming talks at causalclub.di.unipi.it&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>04 Mar 2025 14:03 +0000</pubDate><guid isPermaLink="false">at://did:plc:fr7ovaqa6p6ea5h4a3oi2otf/app.bsky.feed.post/3ljkmz3cdl22a</guid></item><item><link>https://bsky.app/profile/matyasch.bsky.social/post/3li2tw5jyq22w</link><description>Do you want to estimate causal effects for a small set of target variables without knowing the causal graph, but discovering it takes too long? Now you can get adjustment sets in a SNAP🫰accepted at #aistats2025!&#xA;&#xA;📜 arxiv.org/abs/2502.07857&#xA;🧩 matyasch.github.io/snap/&#xA;🧵 1/10</description><pubDate>13 Feb 2025 13:59 +0000</pubDate><guid isPermaLink="false">at://did:plc:fr7ovaqa6p6ea5h4a3oi2otf/app.bsky.feed.post/3li2tw5jyq22w</guid></item></channel></rss>