Eytan Bakshy

Joined

March 2019

Names

Eytan Bakshy (Preferred)

Emails

****@fb.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Principal Researcher

Information, Meta (meta.com)

2011 – 2025

PhD student

Mathematics & Computer Science, University of Michigan (umich.edu)

2007 – 2011

Advisors, Relations & Conflicts

Coauthor

Tom Julian Viering

2025 – Present

Coauthor

Frank Hutter

2024 – Present

Coauthor

Michael Osborne

2021 – Present

Coauthor

Peter Frazier

2019 – Present

Coworker

Carl Hvarfner

2024 – 2024

Coauthor

Jihao Andreas Lin

2024 – 2024

Coauthor

jake gardner

2018 – 2022

Coauthor

Andrew Gordon Wilson

2018 – 2019

Expertise

bayesian optimization

2015 – 2024

gaussian processes

2015 – 2024

computational social science

2007 – 2016

Publications

Exposure to ideologically diverse news and opinion on Facebook
Solomon Messing, Eytan Bakshy, Lada Adamic
- Science
- Readers: Everyone
Pitfalls and Remedies for Multi-Task Bayesian Optimization
Carl Hvarfner, Samuel Daulton, Maximilian Balandat, Eytan Bakshy
- DEMO 2026 Poster
- Readers: Everyone
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning
Hongseok Namkoong, Samuel Daulton, Eytan Bakshy
- Accepted by TMLR
- Readers: Everyone
Robust Transfer for Bayesian Optimization with Multi-Task Prior-Fitted Networks
Yucen Lily Li, Samuel Daulton, Samuel Müller, Andrew Gordon Wilson, Eytan Bakshy
- Submitted to ICLR 2026
- Readers: Everyone
$\alpha$-PFN: Fast Entropy Search via In-Context Learning
Tom Julian Viering, Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Carl Hvarfner, Frank Hutter, Eytan Bakshy
- Submitted to ICLR 2026
- Readers: Everyone
LILO: Bayesian Optimization with Interactive Natural Language Feedback
Kasia Kobalczyk, Zhiyuan Jerry Lin, Benjamin Letham, Zhuokai Zhao, Maximilian Balandat, Eytan Bakshy
- Submitted to ICLR 2026
- Readers: Everyone
Robust Multi-task Modeling for Bayesian Optimization via In-Context Learning
Yucen Lily Li, Samuel Daulton, Samuel Müller, Andrew Gordon Wilson, Eytan Bakshy
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Robust Transfer for Bayesian Optimization with Prior-Data Fitted Networks
Yucen Lily Li, Samuel Daulton, Samuel Müller, Andrew Gordon Wilson, Eytan Bakshy
- SPIGM @ NeurIPS
- Readers: Everyone
Informed Initialization for Bayesian Optimization and Active Learning
Carl Hvarfner, David Eriksson, Eytan Bakshy, Maximilian Balandat
- NeurIPS 2025 poster
- Readers: Everyone
Ax: A Platform for Adaptive Experimentation
Miles Olson, Elizabeth Santorella, Louis C. Tiao, Sait Cakmak, Mia Garrard, Samuel Daulton, Zhiyuan Jerry Lin, Sebastian Ament, Bernard Beckerman, Eric Onofrey, Paschal Igusti, Cristian Lara, Benjamin Letham, Cesar Cardoso, Shiyun Sunny Shen, Andy Chenyuan Lin, Matthew Grange, Elena Kashtelyan, David Eriksson, Maximilian Balandat et al. (1 additional authors not shown)
- AutoML 2025 ABCD Track
- Readers: Everyone

View all 94 publications

Co-Authors

View all 117 co-authors