Michael Li

Gemini Pro 3.1 just killed PowerPoint anyone can now create presentation decks that look like they cost $5k Prompt below:

OpenClaw: FULL COURSE 3 HOURS (Build & Automate Anything)

TL;DR: ✅ Theoretical guarantees for nonlinear meta-learning ✅ Explains when and how aggregation helps ✅ Connects RKHS regression, subspace estimation & meta-learning Co-led with @lzy_michael 🙌, with invaluable support from @ArthurGretton, Samory Kpotufe.

ICLR2025に7本の論文が採択されました😃 We got 7 papers accepted by ICLR2025!

@antoine_mln Thanks for the update😁

@lzy_michael link broken?

🚀 Call for Papers: ICLR 2025 Workshop on World Models! 🌍🤖 📅 Submission Deadline: 10th Feb 2025 23:59 AOE 🌐 Website: sites.google.com/view/worldmode… 📩 Join us in shaping the future of AI-driven world modeling! #ICLR2025 #WorldModels #AI #ML #RL

sites.google.com/view/worldmode… this is the correct link!

Here is everything that happened in AI Agents this week 🧵  (save for later)

✈️ to Nice😁 I’ll be giving an invited talk at IMS-ICSDS this year! Let me know if you are here and let’s discuss🫡

Conditional mean embeddings without Tikhonov: no saturation effect! "Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms" #NeurIPS2024 Poster #5709 12 Dec 11 a.m.— 2 p.m neurips.cc/virtual/2024/p… @DimitriMeunier1 ,Shen,@gaussianmeasure , @lzy_michael

After an incredible journey, I’ve finished my study as PhD student at UCL and am stepping into a new chapter as an Assistant Professor at the University of Bristol. From an uncertain undergrad to overcoming countless challenges along the way of research, there were many days spent in the dark, but step by step, I made it. My research now focuses on causality, reinforcement learning, multiagent systems, and world models. Feel free to reach out if you're interested! I’m also hiring PhD student now, happy to chat! More about me are on my profile ymy4323460.github.io

Thrilled to share that I’ll be joining @GoogleDeepMind as a Research Scientist with the Discovery Team! It’s a dream come true—8 years ago, I watched AlphaGo live in high school, and now I am lucky enough to be part of this incredible journey. Can’t wait to discover what’s next!

Only about 800 papers on diffusion models submitted to ICLR. Will read them over the weekend.

I will be speaking about our recent series of papers on learning in infinite dimensions! Joint Seminar on Inverse Problems and Learning Theory on Oct 29, 14:00 CET (online). Seminar homepage: sites.google.com/view/joint-sem…

Work from our amazing collaborator where they study theoretical foundation of CoT! arxiv.org/abs/2410.08633

UC Berkeley's "Machine Learning" lecture notes people.eecs.berkeley.edu/~jrs/papers/ma…

I moved from Toronto to the London with @geoffreyhinton as one of the founding faculty of the @GatsbyUCL Unit. A few years afterwards, @demishassabis did his PostDoc there. Congrats to the Unit; what an amazing place! amp.theguardian.com/science/2024/o…

A new concentration bound on the smallest eigenvalue of gram matrix covering both low and high dimension cases! arxiv.org/abs/2410.05754

Many congratulations to David Baker, Gatsby Unit alumnus Demis Hassabis (@demishassabis), and John Jumper!

Congratulations Dr @AntoninSchrab on passing the PhD defence with no corrections!! Thanks to Rajen Shah and Carlo Ciliberto for their superb thesis examining work!