1/ Wouldn't it be nice if you could perform Bayesian inference *efficiently* but also *reliably*? Amortized inference offers the former, while MCMC is often presented as the "gold standard" for accuracy and reliability. Enter the Amortized Bayesian Workflow...

If you are at @iclr-conf.bsky.social, please go and have a chat with Yang Yang, @nasrullohloka.bsky.social or @conorhassan.bsky.social at our posters! (re-posted after fixing the time zone...)

1/ Another @iclr-conf.bsky.social paper thread! Do you want to make SOTA probabilistic predictions using transformers & your dataset is a *set* (not a sequence or time series), so you care about permutation invariance... but also efficiency? Keep reading, we have exactly what you need. 👇

A bit of a delayed celebration, but happy that our three submitted papers were accepted at @iclr-conf.bsky.social 2026! This was a... complicated year for ICLR, but hopefully now we can focus on the science.

2/ ... if you actually want to learn more about the paper, we also put together a webpage with the key takeaways: acerbilab.github.io/amortized-co...

Would you present your next NeurIPS paper in Europe instead of traveling to San Diego (US) if this was an option? Søren Hauberg (DTU) and I would love to hear the answer through this poll: (1/6)

1/ Introducing ACE (Amortized Conditioning Engine)! Our new AISTATS 2025 paper presents a transformer framework that unifies tasks from image completion to BayesOpt & simulator-based inference under *one* probabilistic conditioning approach. It's Bayes all the way down!

🚀 Excited to announce the launch of a pilot trial for the Journal-to-Conference track at #AISTATS2025, coordinated by @pierrealquier.bsky.social and me The track considers published papers from AoS, Biometrika, JASA, JMLR & JRSS B for a poster presentation at AISTATS 2025 📅 Deadline: 15 March 2025

I had the honor to meet with Professor Shun-Ichi Amari, a pioneer in neural networks, at the University of Tokyo. Back then he worked on early neural nets using pen and paper, before running computing experiments in the future. He talked not only about AI, but also human evolution and consciousness.

1/ 🎉 We launched the *Helsinki Probabilistic Machine Learning Lab*, which combines multiple research groups at @univhelsinkics.bsky.social - and part of FCAI and ELLIS - working on, guess what, Probabilistic ML and AI. And we are hiring! Please repost! Website: www.helsinki.fi/probabilisti...

1/📯I am hiring! Postdoc position in Probabilistic Machine Learning and Amortized Inference. @univhelsinkics.bsky.social with strong links to the Finnish Center for AI (FCAI) Please see blurb and link in thread below. Applications evaluated on a rolling basis. Please reshare!

📢 ICML Call for Papers is out The CfP is live here: icml.cc/Conferences/..., and we also just released a blog post summarizing major updates this year: medium.com/@icml2025pc/...

1/ Did they fool you into thinking that variational inference is just "the lesser way" of doing Bayesian inference? Please let me argue otherwise. lacerbi.github.io/blog/2024/vi... Or just come to play with the interactive variational inference widget that took me way too long to code up.