🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Aaditya Ramdas, Ruodu Wang. [math.ST]. Hypothesis testing with e-values. arxiv.org/abs/2410.23614…

Maybe I'll finally turn frequentist.

Reviewer 2 likes this.

NOOOO! You were supposed to use TikZ and suffer!

NEW PAPER: Provable robustness of Bayesian filters with simple modifications (nudging) against model misspecification in the transition kernel arxiv.org/abs/2411.00218

This coming Tuesday, our seminar welcomes Diana Cai, presenting on "Batch and match: score-based approaches for black-box variational inference". Subscribe to our mailinglist groups.google.com/g/internationa… and calendar calendar.google.com/calendar/u/0/e… for up-to-date schedule!

The authors may consider simply using the glowing rocks to light the room in the first place.

"The Grammar Checker for Developers"

Hidemaro Suwa, Synge Todo. [cond-mat.stat-mech]. Control of probability flow in Markov chain Monte Carlo -- Nonreversibility and lifting. (Replacement). arxiv.org/abs/1207.0258

Apple released a hearing aids feature for the AirPods Pro a while ago. I bought a pair for grandma, but then realized that the feature was geoblocked in India So we at Lagrange Point decided to unblock it. It ended up involving a leaky microwave and building a Faraday cage:

New preprint on importance sampling, (particle) independent MCMC and their unbiased versions! One bit of math is we use an anti-concentration inequality (L^p version of Paley-Zygmund) to lower bound the acceptance probability. Curious if it can be used for other MCMC algorithms!

I saw Chris present this a few months back. Pretty interesting for people (like me) into particle MCMC. He questions calibrating it based on the variance of the log likelihood and shows that (for once!) one should work in the likelihood space directly.

🔥You enjoyed Arnaud Doucet talk but want even more Schrodinger Bridge? Come talk to me at our poster! 🔷Schrodinger Bridge Flow for Unpaired Data Translation 🔊 East Exhibit Hall A-C #2504 Work done with my amazing collaborators Ira Korshunova Andriy Mnih 🇺🇦🇨🇦 and Arnaud Doucet

One #postdoc position is still available at the National University of Singapore NUS to work on sampling, high-dimensional data-assimilation, and diffusion/flow models. Applications are open until the end of January. Details: alexxthiery.github.io/jobs/2024_diff…

This is what "prompt engineering" should have been from day 1.

posteriors 𝞡 published at ICLR! I’ll be in Singapore next week, let’s chat all things scalable Bayesian learning! 🇸🇬👋