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Join us on Friday, May 2 for a Foundations of Data Science Center Tutorial! This day-long event features talks from leading experts Andrej Risteski and Ankur Moitra. Register here: datascience.columbia.edu/event/center-e…

Check out Abhishek Panigrahi 's talk and poster at #ICLR2025 on understanding the mechanism by which progressive distillation helps. Some theory in toy setup, and a variety of experiments on synthetic and real data. Joint w/ Bingbin Liu, Surbhi Goel, Sadhika Malladi Details below !

Hey Everyone!! I will be giving a lecture at the RL Theory Virtual Seminar tomorrow, on my new paper about the “Pitfalls of Imitation Learning" in continuous action spaces. 🧵 below; please read because the time is somewhat TBD..... 🧐

Looking forward to speaking at the Columbia University Data Science Institute tomorrow, alongside Ankur Moitra. If you're in the area, stop by and say hi!

Looks like a really fun workshop!

Deadline for contributed works to our workshop has been extended to May 23 (AoE).

Recently, we were trying to understand whether using code as an intermediary abstraction would be useful for ML-based PDE solvers. Turns out, a good LLM workflow can do quite well! Check out Shanda's thread below for more details.