Sarah H. Cen

According to our database, Sarah H. Cen authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 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

User Strategization and Trustworthy Algorithms.

Sarah H. Cen, Andrew Ilyas, Aleksander Madry

CoRR, 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