Roy Frostig (original) (raw)

I work on the foundations of machine learning, by way of theory as well as systems and programming languages.Percy Liang was my PhD advisor at Stanford, where I was part of thestatistical machine learning group.

⪼software

I created JAX with a few colleagues in 2017. We're still working on it.

I contributed a bit to the Rust programming language in its early stages.

⪼research

Publications, preprints, and abstracts [also on scholar]:

Gemini Team at Google.
arXiv preprint arXiv:2403.05530, 2024

Roy Frostig, Matthew Johnson, Chris Leary.
Machine Learning and Systems (MLSys), 2018

➥ Reports on a nascent version of JAX.

Jonathan Berant, Andrew Chou, Roy Frostig, Percy Liang.
Empirical Methods in Natural Language Processing (EMNLP), 2013

➥ Corresponds to the initial release of SEMPRE.