Virginia Aglietti is the last invited speaker at our workshop in Bayesian decision making and uncertainty #NeurIPS2024 join us in East room 8 to hear her talk on FunBO, a new way to discover acquisition functions for Bayesian optimization!

Our next invited speaker is Jacob Gardner talking about how Bayesian optimization needs better deep learning! #NeurIPS2024

We scaled training data attribution (TDA) methods ~1000x to find influential pretraining examples for thousands of queries in an 8B-parameter LLM over the entire 160B-token C4 corpus!
medium.com/people-ai-re...

@miniapeur.bsky.social is now giving the first contributed talk for our Bayesian decision making and uncertainty workshop #NeurIPS2024! Join us to hear about how to convert graphs into Hodgelet spectral features and do classification using Gaussian processes!

@estherrolf.bsky.social is the next speaker at the #NeurIPS2024 workshop in Bayesian decision making at uncertainty -- come to East Room 8 now or online to hear why we need more uncertainty based modeling in geospatial machine learning!

The NeurIPS Workshop on Bayesian Decision-making and Uncertainty has started - our first talk is by @mvdw.bsky.social!

Join us at East Meeting Room 8, 15, or online!