People

Eytan Bakshy

Research Manager - Core Data Science

I am a senior scientist on the Facebook Core Data Science team, where I lead the Adaptive Experimentation group. I am particularly interested developing scalable and robust methods for causal inference and reinforcement learning that help people design and optimize better systems.

Interests

Reinforcement learning, causal inference, multi-armed bandits, bayesian optimization and field experiments

Related Links

GitHub

Latest Publications

NeurIPS - December 10, 2020

Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization

Samuel Daulton, Maximilian Balandat, Eytan Bakshy

NeurIPS - December 7, 2020

BOTORCH: A Framework for Efficient Monte-Carlo Bayesian Optimization

Max Balandat, Brian Karrer, Daniel Jiang, Sam Daulton, Ben Letham, Andrew Gordon Wilson, Eytan Bakshy

NeurIPS - December 6, 2020

High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization

Qing Feng, Benjamin Letham, Hongzi Mao, Eytan Bakshy

NeurIPS - October 22, 2020

Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization

Benjamin Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy

Workshop on Safety and Robustness in Decision Making at NeurIPS - December 2, 2019

Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints

Sam Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy

Journal of Machine Learning Research (JMLR) - September 30, 2019

Bayesian Optimization for Policy Search via Online-Offline Experimentation

Benjamin Letham, Eytan Bakshy

SIGKDD - August 4, 2019

Shrinkage Estimators in Online Experiments

Drew Dimmery, Eytan Bakshy, Jasjeet Sehkon

SIGKDD Explorations - June 1, 2019

Top Challenges from the first Practical Online Controlled Experiments Summit

Somit Gupta, Ronny Kohavi, Diane Tang, Ya Xu, Reid Andersen, Eytan Bakshy, Niall Cardin, Sumitha Chandran, Nanyu Chen, Dominic Coey, Mike Curtis, Alex Deng, Weitao Duan, Peter Forbes, Brian Frasca, Tommy Guy, Guido W. Imbens, Guillaume Saint Jacques, Pranav Kantawala, Ilya Katsev, Moshe Katzwer, Mikael Konutgan, Elena Kunakova, Minyong Lee, MJ Lee, Joseph Liu, James McQueen, Amir Najmi, Brent Smith, Vivek Trehan, Lukas Vermeer, Toby Walker, Jeffrey Wong, Igor Yashkov

Bayesian Analysis 2018 - August 16, 2018

Constrained Bayesian Optimization with Noisy Experiments

Ben Letham, Brian Karrer, Guilherme Ottoni, Eytan Bakshy

CHI 2018 - April 21, 2018

Social Influence and Reciprocity in Online Gift Giving

René F. Kizilcec, Eytan Bakshy, Dean Eckles, Moira Burke

PNAS - July 5, 2016

Estimating peer effects in networks with peer encouragement designs

Dean Eckles, René F. Kizilcec, Eytan Bakshy

Proc. WWW - May 18, 2015

Design and Analysis of Benchmarking Experiments for Distributed Internet Services

Eytan Bakshy, Eitan Frachtenberg

Science. - May 9, 2015

Exposure to Ideologically Diverse News and Opinion on Facebook

Eytan Bakshy, Solomon Messing, Lada Adamic

WWW - April 11, 2014

Designing and Deploying Online Field Experiments

Eytan Bakshy, Dean Eckles, Michael Bernstein

ACM EC - July 16, 2013

Selection Effects in Online Sharing: Consequences for Peer Adoption

Sean J. Taylor, Eytan Bakshy, Sinan Aral

ACM (CHI) - April 27, 2013

Quantifying the Invisible Audience in Social Networks

Michael Bernstein, Eytan Bakshy, Moira Burke, Brian Karrer

EC - June 8, 2012

Social Influence in Social Advertising: Evidence from Field Experiments

Eytan Bakshy, Dean Eckles, Rong Yan, Itamar Rosenn

WWW - April 16, 2012

The Role of Social Networks in Information Diffusion

Eytan Bakshy, Itamar Rosenn, Cameron Marlow, Lada Adamic

ICWSM - July 17, 2011

Center of Attention: How Facebook Users Allocate Attention across Friends

Lars Backstrom, Eytan Bakshy, Jon Kleinberg, Thomas Lento, Itamar Rosenn