Sarah Dean
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
13
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Capacity Constraints Make Admissions Processes Less Predictable. | Evan Dong, Nikhil Garg, Sarah Dean |
| 2026 | HRI | A Human-in-the-Loop Confidence-Aware Failure Recovery Framework for Modular Robot Policies. | Rohan Banerjee, Krishna Palempalli, Bohan Yang, Jiaying Fang, Alif Abdullah, Tom Silver, Sarah Dean, Tapomayukh Bhattacharjee |
| 2025 | ICML | Policy Design for Two-sided Platforms with Participation Dynamics. | Haruka Kiyohara, Fan Yao, Sarah Dean |
| 2025 | ICRA | To Ask or not to Ask: Human-in-the-loop Contextual Bandits with Applications in Robot-Assisted Feeding. | Rohan Banerjee, Rajat Kumar Jenamani, Sidharth Vasudev, Amal Nanavati, Katherine Dimitropoulou, Sarah Dean, Tapomayukh Bhattacharjee |
| 2025 | WWW | Datasets for Navigating Sensitive Topics in Recommendation Systems. | Amelia Kovacs, Jerry Chee, Sarah Dean |
| 2024 | AISTATS | Emergent specialization from participation dynamics and multi-learner retraining. | Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel |
| 2024 | AISTATS | Strategic Usage in a Multi-Learner Setting. | Eliot Shekhtman, Sarah Dean |
| 2024 | ICML | Learning from Streaming Data when Users Choose. | Jinyan Su, Sarah Dean |
| 2024 | KDD | Harm Mitigation in Recommender Systems under User Preference Dynamics. | Jerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, Stratis Ioannidis |
| 2024 | WSDM | Ranking with Long-Term Constraints. | Kiant Brantley, Zhichong Fang, Sarah Dean, Thorsten Joachims |
| 2023 | AIES | Reward Reports for Reinforcement Learning. | Thomas Krendl Gilbert, Nathan Lambert, Sarah Dean, Tom Zick, Aaron J. Snoswell, Soham Mehta |
| 2023 | ICLR | Modeling content creator incentives on algorithm-curated platforms. | Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus, Sarah Dean |
| 2023 | WWW | Foreword for Workshop on Decision Making for Information Retrieval and Recommender Systems. | Da Xu, Tobias Schnabel, Xiquan Cui, Sarah Dean, Aniket Deshmukh, Bo Yang, Shipeng Yu |
| 2021 | ICML | Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability. | Mihaela Curmei, Sarah Dean, Benjamin Recht |
| 2020 | CoRL | Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions. | Sarah Dean, Andrew J. Taylor, Ryan K. Cosner, Benjamin Recht, Aaron D. Ames |
| 2020 | ICML | Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. | Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Bjrkegren, Moritz Hardt, Joshua Blumenstock |
| 2020 | ISTAS | AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks. | McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick |
| 2019 | IJCAI | Delayed Impact of Fair Machine Learning. | Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt |
| 2018 | ICML | Delayed Impact of Fair Machine Learning. | Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt |