eytan.github.io - Eytan Bakshy's Homepage

Example domain paragraphs

I'm a director and research scientist at Meta, where I lead the Adaptive Experimentation team. We develop robust AI methods for sample-efficient optimization. We conduct applied and use-inspired basic research to solve real-world problems across the company, and scale these methods through the development of software frameworks. Our work is used broadly within Meta, with applications ranging from optimizing recommender system ranking policies and infrastructure, to AutoML, hardware design, and perception sc

Here are a few of my recent publications. For a more complete list of publications and activities, see my Google Scholar page and likely outdated CV .

The Adaptive Experimentation team at Meta develops two open-source software packages: Ax : A domain-agnostic platform for adaptive experimentation. Ax powers AutoML at Meta, A/B-test-based parameter tuning experiments, infrastructure optimization, hardware design, perception research, and robotics research. BoTorch : A library for Bayesian optimization research. It uses an extremely modular design and closely integrates with (G)PyTorch to enable state-of-the-art rersearch that combines deep Bayesian models

Links to eytan.github.io (5)

hsnamkoong.github.io Hongseok Namkoong
robertmbond.net Robert M. Bond
wjmaddox.github.io Wesley Maddox
robertmbond.org Robert M. Bond
martsen.me martsen.me — Just another WordPress site