Really big thanks to the organizers for the invitation & for putting together such a fun workshop.

My talk: simons.berkeley.edu/talks/andrew...

The paper: arxiv.org/abs/2503.13751

Joint work with @logn.bsky.social, Benjamin Chen, Axel Feldmann, Billy Moses, and @aleksmadry.bsky.social

Had a great time @simonsinstitute.bsky.social last week talking about new & upcoming work on meta-optimization of ML training

tl;dr: we show how to compute gradients *through* the training process & use them to optimize training. Immediate big gains on data selection, poisoning, attribution & more!

After another very lively poster session, our final talk of the day from @coallaoh.bsky.social - who is talking about the interactions between ML, attribution, and humans!

Our second-last talk of the day - Robert Geirhos on “how do we make attribution easy?”

One great poster session (and lunch) later - Baharan Mirzasoleiman on data selection for large language models!

After some amazing contributed talks, we now have a panel moderated by @sadhika.bsky.social - with @coallaoh.bsky.social Baharan Mirzasoleiman and Robert Geirhos!

Next up, @sanmikoyejo.bsky.social on predicting downstream properties of language models!

Our first talk of the day @ ATTRIB 2024 (Rm 205-207): @surbhigoel.bsky.social on attributing model behavior using synthetic data!