Sarah H. Cen

According to our database, Sarah H. Cen authored at least 23 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Do LLMs Track Public Opinion? A Multi-Model Study of Favorability Predictions in the 2024 U.S. Presidential Election.

Riya Parikh, Sarah H. Cen, Chara Podimata

CoRR, February, 2026

The Limits of AI Data Transparency Policy: Three Disclosure Fallacies.

Judy Hanwen Shen, Ken Liu, Angelina Wang, Sarah H. Cen, Andy K. Zhang, Caroline Meinhardt, Daniel Zhang, Kevin Klyman, Rishi Bommasani, Daniel E. Ho

CoRR, January, 2026

Barriers to Evidence in AI-Related Cases and the Privatization of Proof.

Sarah H. Cen, Hannah Ismael, Lucia Zheng

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025

Large-Scale, Longitudinal Study of Large Language Models During the 2024 US Election Season.

Sarah H. Cen, Andrew Ilyas, Hedi Driss, Charlotte Park, Aspen K. Hopkins, Chara Podimata, Aleksander Madry

CoRR, September, 2025

Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives.

Sarah H. Cen, Salil Goyal, Zaynah Javed, Ananya Karthik, Percy Liang, Daniel E. Ho

CoRR, September, 2025

The California Report on Frontier AI Policy.

Rishi Bommasani, Scott R. Singer, Ruth E. Appel, Sarah H. Cen, A. Feder Cooper, Elena Cryst, Lindsey A. Gailmard, Ian Klaus, Meredith M. Lee, Inioluwa Deborah Raji, Anka Reuel, Drew Spence, Alexander Wan, Angelina Wang, Daniel Zhang, Daniel E. Ho, Percy Liang, Dawn Song, Joseph E. Gonzalez, Jonathan Zittrain, Jennifer Tour Chayes, Mariano-Florentino Cuellar, Li Fei-Fei

CoRR, June, 2025

AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services.

Aspen K. Hopkins, Sarah H. Cen, Andrew Ilyas, Isabella Struckman, Luis Videgaray, Aleksander Madry

CoRR, April, 2025

2024

User Strategization and Trustworthy Algorithms.

Sarah H. Cen, Andrew Ilyas, Aleksander Madry

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content.

Sarah H. Cen, Andrew Ilyas, Jennifer Allen, Hannah Li, Aleksander Madry

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing.

Sarah H. Cen, Rohan Alur

Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, 2024

2023

A User-Driven Framework for Regulating and Auditing Social Media.

Sarah H. Cen, Aleksander Madry, Devavrat Shah

CoRR, 2023

Matrix Estimation for Individual Fairness.

Cindy Y. Zhang, Sarah Huiyi Cen, Devavrat Shah

Proceedings of the International Conference on Machine Learning, 2023

2022

Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning".

Julien Pérolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls

Dataset, October, 2022

The Right to be an Exception to a Data-Driven Rule.

Sarah H. Cen, Manish Raghavan

CoRR, 2022

Network Synthetic Interventions: A Framework for Panel Data with Network Interference.

Anish Agarwal, Sarah H. Cen, Devavrat Shah, Christina Lee Yu

CoRR, 2022

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning.

Julien Pérolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas W. Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls

CoRR, 2022

Regret, stability & fairness in matching markets with bandit learners.

Sarah Huiyi Cen, Devavrat Shah

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Regret, stability, and fairness in matching markets with bandit learners.

Sarah Huiyi Cen, Devavrat Shah

CoRR, 2021

Regulating algorithmic filtering on social media.

Sarah Huiyi Cen, Devavrat Shah

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Probably Unknown: Deep Inverse Sensor Modelling Radar.

Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner

Proceedings of the International Conference on Robotics and Automation, 2019

Radar-only ego-motion estimation in difficult settings via graph matching.

Sarah Huiyi Cen, Paul Newman

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Precise Ego-Motion Estimation with Millimeter-Wave Radar Under Diverse and Challenging Conditions.

Sarah Huiyi Cen, Paul Newman

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

On robustness and leadership in Markov switching consensus networks.

Sarah Huiyi Cen, Vaibhav Srivastava, Naomi Ehrich Leonard

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017