🔥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

🤖📢Call for RL internship 🤖📢 The Applied RL team at Meta is hiring research interns. If you're curious about multi-agent RL research and applications in large-scale systems please apply here: metacareers.com/jobs/496829266…

We are back for the Fall! Checkout the website for details. Upcoming: 10/15 - Zak Mhammedi (Google) 10/22 - Audrey Huang (UIUC) 11/5 - Noah Golowich (MIT) 11/12 - Vlad Tkachuk (UAlberta) 11/19 - Runzhe Wu (Cornell) 11/26 - Asaf Cassel (Tel Aviv Uni) 12/3 - Yaqi Duan (NYU)

No measure theory required and martingales mentioned 76 times. It must be about discrete stuff. But no, it is not at all. So how does this work? LOL (This is from the Meyn and Tweedie book about Markov chains, which I love regardless. It seems Sean is not on twitter anymore!?!)

UAlberta Comp Sci University of Alberta has two #tenuretrack #AI positions: #ArtificialIntelligence & #SoftwareEngineering apps.ualberta.ca/careers/postin… Artificial Intelligence/#MachineLearning/#DeepLearning Theory apps.ualberta.ca/careers/postin… Possible Canada CIFAR Chair by Amii. Come & join us.

Tomorrow we are hosting Noah ! Please be aware of the time change. The talk is at 5 pm UTC meaning 9am PST, noon EST, 5 pm GMT, 6 pm CET ( to list some example).

PLS SHARE: I'm hiring a PhD student to work on ML theory, to begin in Fall 2025. Topics include: generalization bounds & statistical inference via online prediction, representation learning via optimal transport, sequential decision making... More info: cs.bme.hu/~gergo/jobs.ht…

RLC will be held at the Univ. of Alberta, Edmonton, in 2025. I'm happy to say that we now have the conference's website out: rl-conference.cc/index.html We'll continue to update it, and the CFP will be out soon, but the relevant dates are already there. RL_Conference University of Alberta

Tomorrow at 6 PM UTC, Asaf Cassel will talk about "Warm-Up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes".

I guess I'll be out from here; you know where to find me. I'll probably check back time to time for the odd messages, but this will wind down and stop eventually. There are rules about how many social media accounts one should keep alive. Thx!

Nothing inspires more than the humility of someone with great accomplishments. I hope that generations of researchers will pay attention to the wise words of Rich! (Coming back to X just to post this.)

Powerful words from Rich about RL and learning from experience.

Another week, another seminar. This time with David ! See you tomorrow at 6 PM UTC

There is a postdoctoral position for research on adversarial robustness at UBC, supervised by Mathias Lecuyer (Mathias Lecuyer), Geoff Pleiss, and Nidhi Hegde (Nidhi Hegde). Please spread the word! 🇨🇦 Link in next tweet 1/2

Last seminar before we take a short break to prepare for the next season! You can send us paper recommendations via this form: forms.gle/Uak8LpVPynNMbf…

FYI if you suspect that a reviewer used an LLM to generate an ICML review, you can report them at this link: docs.google.com/forms/d/e/1FAI…

Google link to apply: boards.greenhouse.io/deepmind/jobs/…

I have had an incredibly positive experience during my sabbatical at Bloomberg. I am glad that they are formalizing this into a program. A major plus for me was that I was treated as fulltime for *everything*. I will be happy to chat in case you had questions about my experience.

Some good stuff coming..

First seminar of this season is coming up tomorrow! Yay!

This is the one that is coming up tomorrow!