Alex Beutel
OpenAI
About Me
I currently work at OpenAI as the tech lead for our Safety Research teams.
I was previously a senior staff research scientist, tech lead, and manager at Google Research, co-leading a Responsible ML team and driving research spanning
, , , , and . I led work from basic research to product impact, with >50 launches across multiple products.I got my
in computer science at , advised by and . My research focused on large-scale user behavior modeling, covering , , and . Over the course of graduate school, I interned with Facebook's Site Integrity team and News Feed Ranking teams, Microsoft's Cloud and Information Service Lab, and Google Research.Before graduate school, I majored in computer science and physics at
. While there, I worked with and on computational geometry for terrain modeling.Recommendation Systems
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Building Healthy Recommendation Sequences for Everyone: A Safe Reinforcement Learning Approach
... , , , , , , Alex BeutelFAccTRec, 2020
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Measuring Recommender System Effects with Simulated Users
... , , , , Kang Lee, , , , Alex BeutelFATES at WWW, 2020
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Top-K Off-Policy Correction for a REINFORCE Recommender System
... , Alex Beutel*, , , Francois Belletti,WSDM, 2019
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Latent Cross: Making Use of Context in Recurrent Recommender Systems
...Alex Beutel, , , Can Xu, Jia Li, Vince Gatto,WSDM, 2018
Fairness
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Flexible text generation for counterfactual fairness probing
... , , , Alex Beutel, ,Sixth Workshop on Online Abuse and Harms (WOAH) at ACL, 2022
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Fairness without Demographics through Adversarially Reweighted Learning
... , Alex Beutel, , Kang Lee, , , ,NeurIPS, 2020
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Fairness in Recommendation Ranking through Pairwise Comparisons
...Alex Beutel, , , Hai Qian, , Yi Wu, , , , ,KDD (Applied Data Science Track), 2019
- Incorporated in a large-scale production recommender (Google Research's 2019 Year in Review).
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Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
...Alex Beutel, , , Hai Qian, , Christine Luu, Pierre Kreitmann, Jonathan Bischof,AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2019
Robustness
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Striving for data-model efficiency: Identifying data externalities on group performance
... , , Alex Beutel,Trustworthy and Socially Responsible Machine Learning (TSRML) workshop at NeurIPS, 2022
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Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
... , , , , Alex Beutel,NeurIPS, 2022
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Improving Calibration through the Relationship with Adversarial Robustness
... , , Alex Beutel,NeurIPS, 2021
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CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
...Tianlu Wang, , , , Kang Li, , Alex Beutel,EMNLP, 2020
Machine Learning Systems
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The Case for Learned Index Structures
... , Alex Beutel, , ,SIGMOD, 2018
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Learned Indexes for a Google-scale Disk-based Database
... , , Alex Beutel, , , , Xiaozhou, Li, Andy Ly,ML for Systems workshop at NeurIPS, 2020
Fraud Detection
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CopyCatch: Stopping Group Attacks by Spotting Lockstep Behavior in Social Networks
...Alex Beutel, Wanhong Xu, , Christopher Palow,WWW, 2013
- ACM Computing Review Editor's Highlight on CopyCatch
- Patent by Facebook (Patent Number 9077744)
- Discussion by Facebook
- Included in courses at Carnegie Mellon and University of Florida
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(Best Paper Award)
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage
... , , Alex Beutel, , ,KDD, 2016