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ORCIDSarah H. Cen
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- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
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2020 – today
- 2025
[i16]Aspen K. Hopkins, Sarah H. Cen, Andrew Ilyas, Isabella Struckman, Luis Videgaray, Aleksander Madry:
AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services. CoRR abs/2504.20185 (2025)- [i15]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:
The California Report on Frontier AI Policy. CoRR abs/2506.17303 (2025) - [i14]Sarah H. Cen, Salil Goyal, Zaynah Javed, Ananya Karthik, Percy Liang, Daniel E. Ho:
Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives. CoRR abs/2509.05627 (2025) - [i13]Sarah H. Cen, Andrew Ilyas, Hedi Driss, Charlotte Park, Aspen K. Hopkins, Chara Podimata, Aleksander Madry:
Large-Scale, Longitudinal Study of Large Language Models During the 2024 US Election Season. CoRR abs/2509.18446 (2025) - 2024
- [c10]Sarah H. Cen
, Rohan Alur:
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing. EAAMO 2024: 13:1-13:14 - [c9]Sarah H. Cen, Andrew Ilyas, Aleksander Madry:
User Strategization and Trustworthy Algorithms. EC 2024: 202 - [c8]Sarah H. Cen, Andrew Ilyas, Jennifer Allen, Hannah Li, Aleksander Madry:
Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content. EC 2024: 203-204 - [i12]Sarah H. Cen, Andrew Ilyas, Jennifer Allen, Hannah Li, Aleksander Madry:
Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content. CoRR abs/2405.05596 (2024) - [i11]Sarah H. Cen, Rohan Alur:
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing. CoRR abs/2410.04772 (2024) - 2023
- [c7]Cindy Y. Zhang, Sarah Huiyi Cen, Devavrat Shah:
Matrix Estimation for Individual Fairness. ICML 2023: 40871-40887 - [i10]Cindy Y. Zhang, Sarah Huiyi Cen, Devavrat Shah:
Matrix Estimation for Individual Fairness. CoRR abs/2302.02096 (2023) - [i9]Sarah H. Cen, Aleksander Madry, Devavrat Shah:
A User-Driven Framework for Regulating and Auditing Social Media. CoRR abs/2304.10525 (2023) - [i8]Sarah H. Cen, Andrew Ilyas, Aleksander Madry:
User Strategization and Trustworthy Algorithms. CoRR abs/2312.17666 (2023) - 2022
- [c6]Sarah Huiyi Cen, Devavrat Shah:
Regret, stability & fairness in matching markets with bandit learners. AISTATS 2022: 8938-8968 - [d1]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:
Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning". Zenodo, 2022
- [i7]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:
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. CoRR abs/2206.15378 (2022) - [i6]Anish Agarwal, Sarah H. Cen, Devavrat Shah, Christina Lee Yu:
Network Synthetic Interventions: A Framework for Panel Data with Network Interference. CoRR abs/2210.11355 (2022) - [i5]Sarah H. Cen, Manish Raghavan:
The Right to be an Exception to a Data-Driven Rule. CoRR abs/2212.13995 (2022) - 2021
- [c5]Sarah Huiyi Cen, Devavrat Shah:
Regulating algorithmic filtering on social media. NeurIPS 2021: 6997-7011 - [i4]Sarah Huiyi Cen, Devavrat Shah:
Regret, stability, and fairness in matching markets with bandit learners. CoRR abs/2102.06246 (2021) - 2020
- [i3]Sarah Huiyi Cen, Devavrat Shah:
Regulating algorithmic filtering on social media. CoRR abs/2006.09647 (2020)
2010 – 2019
- 2019
- [c4]Sarah Huiyi Cen, Paul Newman:
Radar-only ego-motion estimation in difficult settings via graph matching. ICRA 2019: 298-304 - [c3]Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner:
Probably Unknown: Deep Inverse Sensor Modelling Radar. ICRA 2019: 5446-5452 - [i2]Sarah Huiyi Cen, Paul Newman:
Radar-only ego-motion estimation in difficult settings via graph matching. CoRR abs/1904.11476 (2019) - 2018
- [c2]Sarah Huiyi Cen, Paul Newman:
Precise Ego-Motion Estimation with Millimeter-Wave Radar Under Diverse and Challenging Conditions. ICRA 2018: 1-8 - [i1]Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner:
Probably Unknown: Deep Inverse Sensor Modelling In Radar. CoRR abs/1810.08151 (2018) - 2017
- [c1]Sarah Huiyi Cen, Vaibhav Srivastava, Naomi Ehrich Leonard:
On robustness and leadership in Markov switching consensus networks. CDC 2017: 1701-1706
Coauthor Index
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last updated on 2025-10-19 21:51 CEST by the dblp team
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