153 citations · 155 across the 8 of their papers we have counts for
10 papers
Robustness and Centrality in Markov-switching Networks
Sarah H. Cen, Vaibhav Srivastava, Naomi Ehrich Leonard
We investigate how time-varying interactions, modeled via a Markov switching graph (MSG), impact the robustness of noisy multi-agent dynamics in both continuous- and discrete-time…
A User-Driven Framework for Regulating and Auditing Social Media
Sarah H. Cen, Aleksander Madry, Devavrat Shah
People form judgments and make decisions based on the information that they observe. A growing portion of that information is not only provided, but carefully curated by social med…
Matrix Estimation for Individual Fairness
Cindy Y. Zhang, Sarah H. Cen, Devavrat Shah
In recent years, multiple notions of algorithmic fairness have arisen. One such notion is individual fairness (IF), which requires that individuals who are similar receive similar…
The Right to be an Exception to a Data-Driven Rule
Sarah H. Cen, Manish Raghavan
Data-driven tools are increasingly used to make consequential decisions. They have begun to advise employers on which job applicants to interview, judges on which defendants to gra…
Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference
Anish Agarwal, Sarah H. Cen, Devavrat Shah +1
We propose a generalization of the synthetic controls and synthetic interventions methodology to incorporate network interference. We consider the estimation of unit-specific poten…
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
Julien Perolat, Bart de Vylder, Daniel Hennes +31
We introduce DeepNash, an autonomous agent capable of learning to play the imperfect information game Stratego from scratch, up to a human expert level. Stratego is one of the few…
Regret, stability & fairness in matching markets with bandit learners
Sarah H. Cen, Devavrat Shah
Making an informed decision -- for example, when choosing a career or housing -- requires knowledge about the available options. Such knowledge is generally acquired through costly…
Regulating algorithmic filtering on social media
Sarah H. Cen, Devavrat Shah
By filtering the content that users see, social media platforms have the ability to influence users' perceptions and decisions, from their dining choices to their voting preference…
Radar-only ego-motion estimation in difficult settings via graph matching
Sarah H. Cen, Paul Newman
Radar detects stable, long-range objects under variable weather and lighting conditions, making it a reliable and versatile sensor well suited for ego-motion estimation. In this wo…
Probably Unknown: Deep Inverse Sensor Modelling In Radar
Rob Weston, Sarah Cen, Paul Newman +1
Radar presents a promising alternative to lidar and vision in autonomous vehicle applications, able to detect objects at long range under a variety of weather conditions. However,…