Dean, Sarah

21 publications

TMLR 2025 Accounting for AI and Users Shaping One Another: The Role of Mathematical Models Sarah Dean, Evan Dong, Meena Jagadeesan, Liu Leqi

L4DC 2025 Finite Sample Identification of Partially Observed Bilinear Dynamical Systems Yahya Sattar, Yassir Jedra, Maryam Fazel, Sarah Dean

ICML 2025 Policy Design for Two-Sided Platforms with Participation Dynamics Haruka Kiyohara, Fan Yao, Sarah Dean

NeurIPS 2025 Pre-Trained Large Language Models Learn to Predict Hidden Markov Models In-Context Yijia Dai, Zhaolin Gao, Yahya Sattar, Sarah Dean, Jennifer J. Sun

NeurIPSW 2024 Datasets for Navigating Sensitive Topics in Peference Data and Recommendations Amelia Kovacs, Jerry Chee, Kimia Kazemian, Sarah Dean

AISTATS 2024 Emergent Specialization from Participation Dynamics and Multi-Learner Retraining Sarah Dean, Mihaela Curmei, Lillian Ratliff, Jamie Morgenstern, Maryam Fazel

NeurIPS 2024 Initializing Services in Interactive ML Systems for Diverse Users Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel

ICML 2024 Learning from Streaming Data When Users Choose Jinyan Su, Sarah Dean

L4DC 2024 Random Features Approximation for Control-Affine Systems Kimia Kazemian, Yahya Sattar, Sarah Dean

AISTATS 2024 Strategic Usage in a Multi-Learner Setting Eliot Shekhtman, Sarah Dean

ICLR 2023 Modeling Content Creator Incentives on Algorithm-Curated Platforms Jiri Hron, Karl Krauth, Michael Jordan, Niki Kilbertus, Sarah Dean

NeurIPS 2023 Online Convex Optimization with Unbounded Memory Raunak Kumar, Sarah Dean, Robert D. Kleinberg

NeurIPSW 2022 Cross-Dataset Propensity Estimation for Debiasing Recommender Systems Fengyu Li, Sarah Dean

L4DC 2021 Certainty Equivalent Perception-Based Control Sarah Dean, Benjamin Recht

ICML 2021 Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability Mihaela Curmei, Sarah Dean, Benjamin Recht

ICML 2020 Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Bjorkegren, Moritz Hardt, Joshua Blumenstock

CoRL 2020 Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions Sarah Dean, Andrew Taylor, Ryan Cosner, Benjamin Recht, Aaron Ames

L4DC 2020 Robust Guarantees for Perception-Based Control Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye

IJCAI 2019 Delayed Impact of Fair Machine Learning Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt

ICML 2018 Delayed Impact of Fair Machine Learning Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt

NeurIPS 2018 Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu