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After 10 attempts, we gave up... but you get the point. We look forward to seeing you at the conference!

Let the conference begin! #AISTATS2024

Matt Hoffman (Google) presenting on “ Running Many-Chain MCMC on Cheap GPUs”. #AISTATS2024

Ever wondered how to establish your own research path in the age of big compute? Our panel shares their perspectives. #AISTATS2024

#AISTATS2024 Day 2 Keynote: Aaditya Ramdas on "Conformal Online Model Aggregation". Thanks for joining us on your Birthday, Aaditya!

The #AISTATS2024 Test of Time Award for the most impactful AISTATS 2014 paper goes to Rajesh Ranganath, Sean Gerrish, and David Blei for "Black Box Variational Inference". Many thanks to the awards committee, and congratulations!

#AISTATS2024 Day 3 Keynote: Stefanie Jegelka on "Learning with Symmetries: Eigenvectors, Graph Representations and Sample Complexity"

Call for papers for AISTATS 2025 is out now aistats.org/aistats2025/ca… You can also (self-)nominate for reviewer/AC position forms.gle/saediFoTznTQ7h… We are (trying to) switch to OpenReview so submission details will be available a bit later. Stephan Mandt @ AISTATS’25 yingzhen Shipra Agrawal 1/

Submit your papers to #AISTATS2025! Enjoy high-quality reviews and join us in an incredible location!

Stressed out about not meeting the ICLR 2026 deadline?😪No worries! Submit your papers to AISTATS Conference and enjoy Thailand! 🌴😃 Abstract registration: October 3 Full paper submission: October 10 Emtiyaz Khan, Shipra Agrawal, yingzhen

🚀 Excited to announce the launch of a pilot trial for the Journal2Conf track at #AISTATS2025, coordinated by Pierre Alquier and Kamélia Daudel The track considers papers from AoS, Biometrika, JASA, JMLR & JRSS B for a poster presentation at AISTATS 📅 Deadline: 15 Mar 2025

#AISTATS2025 is off to a strong start! First keynote: Chris Holmes rethinks Bayesian inference through the lens of predictive distributions—introducing tools like martingale posteriors. 🌴🌴🤖🎓

Aapo Hyvärinen speaking at AISTATS Conference. What are your assumptions, sir?

Big congrats to Charles Margossian and Lawrence Saul for winning the #AISTATS 2025 Best Paper Award! "Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix"

The #AISTATS 2025 Test of Time Award goes to ... 🥁 ... Chen-Yu Lee, Saining Xie, Patrick Gallagher, Zhengyou Zhang, Zhuowen Tu, for "Deeply Supervised Nets"! Congratulations!

And last but not least... the Best Student Paper Award at #AISTATS 2025 goes to Daniel Marks and Dario Paccagnan for "Pick-to-Learn and Self-Certified Gaussian Process Approximations". Congratulations!

#AISTATS2025 day 3 keynote by Akshay Krishnamurthy about how to do theory research on inference time compute 👍 AISTATS Conference

Back from AISTATS Conference in Thailand to my Zurich sabbatical—sipping coffee in the same spots Einstein once did. What a journey! Huge thanks to my entire AISTATS team: reviewers, ACs, senior ACs, and Chairs. It’s been amazing to work with you!