Emtiyaz Khan

Our new paper on "The Bayesian Learning Rule" is now on arXiv, where we provide a common learning-principle behind a variety of learning algorithms (optimization, deep learning, and graphical models). arxiv.org/abs/2107.04562 Guess what, the principle is Bayesian. A very long🧵

Thanks for the invite! The story behind this slide is that I was aware of @EmtiyazKhan's sharp eye for technical questions, and tried to avoid them by keeping most things high-level And then he pointed out "Disclaimer #2" had a number in it ⚰️

Day 1 (April 9) – Algorithms Day We kick off the discussion with Dr. @shaneguML (@GoogleDeepMind ) Dr. @kaixhin (@ArayaGlobal ) Prof. Masanori Koyama (UTokyo) Dr. Taro Toyoizumi (@RIKEN_CBS ) Dr. @EmtiyazKhan (@RIKEN_AIP_EN) Prof. Yunzhe Liu (@BNU_1902 )

🔊 🔊 One month left until our Global Summit on Open Problems for AI (Tokyo, 9-11th April): algopreneurship.ai Come and join Tokyo's AI leaders to discuss the next 5 years in AI Algorithms, Ethics, and Applications. Program released and discounted student, scientist, and…

List of accepted papers for AISTATS 2025 is now available. aistats.org/aistats2025/ Congratulations to the authors and thanks to the reviewers, AC, and SACs for their help. Thanks to my co-chair @ashipra & workflow chairs: Christopher Anders (RIKEN) & Tingting Ou (Columbia).

I will be deleting this account soon! Please find me in the federated universe. Address in my webpage. emtiyaz.github.io I will miss this place, but it has changed a lot and very quickly. Time to say goodbye to my data in here.

Are you LoRA fine-tuning LLMs and looking for easy ways to get improvements in accuracy? And also Bayesian uncertainty on top for free? Then check our recent work, accepted @neurips24fitml workshop! arxiv.org/abs/2411.04421

We are still accepting applications for 2 post-doc positions! Get in touch if you want to apply.

Thank you Emti for this inspiring and stimulating event

Videos of talks held during the 2nd Bayes-duality workshop in June 2024 are now publicly available. Playlist: bayesduality.github.io/workshop_2024.… Each talk separately: bayesduality.github.io/talks_2024.html

*Model Merging by Uncertainty-Based Gradient Matching* by @ndaheim_ @tmoellenhoff @PontiEdoardo @IGurevych @EmtiyazKhan Adding Hessian preconditioning improves model merging, and it can be justified in terms of gradient mismatch wrt a multitask model. arxiv.org/abs/2012.03351

Stressed out about not meeting the @iclr_conf deadline?😪No worries! Submit your papers to @aistats_conf and enjoy Thailand! 🌴😃 Abstract registration: October 3 Full paper submission: October 10 @EmtiyazKhan, @ashipra, @liyzhen2

This is an excellent opportunity for students looking for postdoc positions in continual learning / deep learning / optimization. @EmtiyazKhan is a thoughtful leader with whom you would love to work!

We have two open post-doc positions. You dont' have to be a Bayesian but somebody who is interested to work with at the intersection of DL, Bayes, and optimization. riken.jp/en/careers/res… Interest in understanding deep learning and continual lifelong learning is a plus!

We're finally going with the times and are using OpenReview for #AISTATS2025, so you have no excuses anymore to not submit all your great papers!

AISTATS 2025 in Phuket!

If you think you're qualified to review/AC please self nominate!