Sarah Dean - RankMe

81 papers A* 15A 3C 4Misc 1Journal 48Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Human-in-the-Loop Confidence-Aware Failure Recovery Framework for Modular Robot Policies. HRI Rohan Banerjee, Krishna Palempalli, Bohan Yang, Jiaying Fang, Alif Abdullah, Tom Silver, Sarah Dean, Tapomayukh Bhattacharjee
2026	J	`jnl`	A Human-in-the-Loop Confidence-Aware Failure Recovery Framework for Modular Robot Policies. CoRR Rohan Banerjee, Krishna Palempalli, Bohan Yang, Jiaying Fang, Alif Abdullah, Tom Silver, Sarah Dean, Tapomayukh Bhattacharjee
2026	A*	`conf`	Capacity Constraints Make Admissions Processes Less Predictable. AAAI Evan Dong, Nikhil Garg, Sarah Dean
2026	J	`jnl`	Capacity Constraints Make Admissions Processes Less Predictable. CoRR Evan Dong, Nikhil Garg, Sarah Dean
2026	J	`jnl`	Do LLMs Favor LLMs? Quantifying Interaction Effects in Peer Review. CoRR Vibhhu Sharma, Thorsten Joachims, Sarah Dean
2026	J	`jnl`	Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing. CoRR Adhyyan Narang, Sarah Dean, Lillian J. Ratliff, Maryam Fazel
2025	J	`jnl`	Accounting for AI and Users Shaping One Another: The Role of Mathematical Models. Trans. Mach. Learn. Res. Sarah Dean, Evan Dong, Meena Jagadeesan, Liu Leqi
2025	J	`jnl`	Benchmark Datasets for Lead-Lag Forecasting on Social Platforms. CoRR Kimia Kazemian, Zhenzhen Liu, Yangfanyu Yang, Katie Z. Luo, Shuhan Gu, Audrey Du, Xinyu Yang, Jack Jansons, Kilian Q. Weinberger, John Thickstun, Yian Yin, Sarah Dean
2025	—	`conf`	Datasets for Navigating Sensitive Topics in Recommendation Systems. WWW (Companion Volume) Amelia Kovacs, Jerry Chee, Sarah Dean
2025	J	`jnl`	Datasets for Navigating Sensitive Topics in Recommendation Systems. CoRR Amelia Kovacs, Jerry Chee, Kimia Kazemian, Sarah Dean
2025	J	`jnl`	Explore-then-Commit for Nonstationary Linear Bandits with Latent Dynamics. CoRR Sunmook Choi, Yahya Sattar, Yassir Jedra, Maryam Fazel, Sarah Dean
2025	—	`conf`	Finite Sample Identification of Partially Observed Bilinear Dynamical Systems. L4DC Yahya Sattar, Yassir Jedra, Maryam Fazel, Sarah Dean
2025	J	`jnl`	Finite Sample Identification of Partially Observed Bilinear Dynamical Systems. CoRR Yahya Sattar, Yassir Jedra, Maryam Fazel, Sarah Dean
2025	J	`jnl`	High-Altitude Balloon Station-Keeping with First Order Model Predictive Control. CoRR Myles Pasetsky, Jiawei Lin, Bradley Guo, Sarah Dean
2025	C	`conf`	Learning Linear Dynamics from Bilinear Observations. ACC Yahya Sattar, Yassir Jedra, Sarah Dean
2025	A*	`conf`	Policy Design for Two-sided Platforms with Participation Dynamics. ICML Haruka Kiyohara, Fan Yao, Sarah Dean
2025	J	`jnl`	Policy Design for Two-sided Platforms with Participation Dynamics. CoRR Haruka Kiyohara, Fan Yao, Sarah Dean
2025	J	`jnl`	Pre-trained Large Language Models Learn Hidden Markov Models In-context. CoRR Yijia Dai, Zhaolin Gao, Yahya Sattar, Sarah Dean, Jennifer J. Sun
2025	J	`jnl`	Sparse-to-Field Reconstruction via Stochastic Neural Dynamic Mode Decomposition. CoRR Yujin Kim, Sarah Dean
2025	—	`conf`	Sub-optimality of the Separation Principle for Quadratic Control from Bilinear Observations. CDC Yahya Sattar, Sunmook Choi, Yassir Jedra, Maryam Fazel, Sarah Dean
2025	J	`jnl`	Sub-optimality of the Separation Principle for Quadratic Control from Bilinear Observations. CoRR Yahya Sattar, Sunmook Choi, Yassir Jedra, Maryam Fazel, Sarah Dean
2025	A*	`conf`	To Ask or not to Ask: Human-in-the-loop Contextual Bandits with Applications in Robot-Assisted Feeding. ICRA Rohan Banerjee, Rajat Kumar Jenamani, Sidharth Vasudev, Amal Nanavati, Katherine Dimitropoulou, Sarah Dean, Tapomayukh Bhattacharjee
2024	J	`jnl`	Accounting for AI and Users Shaping One Another: The Role of Mathematical Models. CoRR Sarah Dean, Evan Dong, Meena Jagadeesan, Liu Leqi
2024	A	`conf`	Emergent specialization from participation dynamics and multi-learner retraining. AISTATS Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel
2024	A*	`conf`	Harm Mitigation in Recommender Systems under User Preference Dynamics. KDD Jerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, Stratis Ioannidis
2024	J	`jnl`	Harm Mitigation in Recommender Systems under User Preference Dynamics. CoRR Jerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, Stratis Ioannidis
2024	A*	`conf`	Initializing Services in Interactive ML Systems for Diverse Users. NeurIPS Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie H. Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel
2024	J	`jnl`	Learning Linear Dynamics from Bilinear Observations. CoRR Yahya Sattar, Yassir Jedra, Sarah Dean
2024	A*	`conf`	Learning from Streaming Data when Users Choose. ICML Jinyan Su, Sarah Dean
2024	J	`jnl`	Learning from Streaming Data when Users Choose. CoRR Jinyan Su, Sarah Dean
2024	J	`jnl`	Random Features Approximation for Control-Affine Systems. CoRR Kimia Kazemian, Yahya Sattar, Sarah Dean
2024	—	`conf`	Random features approximation for control-affine systems. L4DC Kimia Kazemian, Yahya Sattar, Sarah Dean
2024	A	`conf`	Ranking with Long-Term Constraints. WSDM Kianté Brantley, Zhichong Fang, Sarah Dean, Thorsten Joachims
2024	A	`conf`	Strategic Usage in a Multi-Learner Setting. AISTATS Eliot Shekhtman, Sarah Dean
2024	J	`jnl`	Strategic Usage in a Multi-Learner Setting. CoRR Eliot Shekhtman, Sarah Dean
2024	J	`jnl`	To Ask or Not To Ask: Human-in-the-loop Contextual Bandits with Applications in Robot-Assisted Feeding. CoRR Rohan Banerjee, Rajat Kumar Jenamani, Sidharth Vasudev, Amal Nanavati, Sarah Dean, Tapomayukh Bhattacharjee
2023	J	`jnl`	Decision-aid or Controller? Steering Human Decision Makers with Algorithms. CoRR Ruqing Xu, Sarah Dean
2023	—	`conf`	Foreword for Workshop on Decision Making for Information Retrieval and Recommender Systems. WWW (Companion Volume) Da Xu, Tobias Schnabel, Xiquan Cui, Sarah Dean, Aniket Deshmukh, Bo Yang, Shipeng Yu
2023	J	`jnl`	Initializing Services in Interactive ML Systems for Diverse Users. CoRR Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel
2023	A*	`conf`	Modeling content creator incentives on algorithm-curated platforms. ICLR Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus, Sarah Dean
2023	A*	`conf`	Online Convex Optimization with Unbounded Memory. NeurIPS Raunak Kumar, Sarah Dean, Robert Kleinberg
2023	J	`jnl`	Ranking with Long-Term Constraints. CoRR Kianté Brantley, Zhichong Fang, Sarah Dean, Thorsten Joachims
2023	C	`conf`	Reward Reports for Reinforcement Learning. AIES Thomas Krendl Gilbert, Nathan Lambert, Sarah Dean, Tom Zick, Aaron J. Snoswell, Soham Mehta
2022	J	`jnl`	Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems. CoRR Thomas Krendl Gilbert, Sarah Dean, Tom Zick, Nathan Lambert
2022	J	`jnl`	Cross-Dataset Propensity Estimation for Debiasing Recommender Systems. CoRR Fengyu Li, Sarah Dean
2022	J	`jnl`	Modeling Content Creator Incentives on Algorithm-Curated Platforms. CoRR Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus, Sarah Dean
2022	J	`jnl`	Multi-learner risk reduction under endogenous participation dynamics. CoRR Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel
2022	J	`jnl`	Online Convex Optimization with Unbounded Memory. CoRR Raunak Kumar, Sarah Dean, Robert D. Kleinberg
2022	J	`jnl`	Perception-Based Sampled-Data Optimization of Dynamical Systems. CoRR Liliaokeawawa Cothren, Gianluca Bianchin, Sarah Dean, Emiliano Dall'Anese
2022	A*	`conf`	Preference Dynamics Under Personalized Recommendations. EC Sarah Dean, Jamie Morgenstern
2022	J	`jnl`	Preference Dynamics Under Personalized Recommendations. CoRR Sarah Dean, Jamie Morgenstern
2022	J	`jnl`	Reward Reports for Reinforcement Learning. CoRR Thomas Krendl Gilbert, Sarah Dean, Nathan Lambert, Tom Zick, Aaron J. Snoswell
2021	J	`jnl`	AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks. CoRR McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick
2021	J	`jnl`	Axes for Sociotechnical Inquiry in AI Research. CoRR Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick
2021	—	`conf`	Certainty Equivalent Perception-Based Control. L4DC Sarah Dean, Benjamin Recht
2021	A*	`conf`	Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability. ICML Mihaela Curmei, Sarah Dean, Benjamin Recht
2021	J	`jnl`	Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability. CoRR Mihaela Curmei, Sarah Dean, Benjamin Recht
2021	—	`—`	Reliable Machine Learning in Feedback Systems Sarah Dean
2021	—	`conf`	Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty. CDC Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames
2020	C	`conf`	AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks. ISTAS McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick
2020	A*	`conf`	Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. ICML Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
2020	J	`jnl`	Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning. CoRR Esther Rolf, Max Simchowitz, Sarah Dean, Lydia T. Liu, Daniel Björkegren, Moritz Hardt, Joshua Blumenstock
2020	J	`jnl`	Certainty Equivalent Perception-Based Control. CoRR Sarah Dean, Benjamin Recht
2020	J	`jnl`	Do Offline Metrics Predict Online Performance in Recommender Systems? CoRR Karl Krauth, Sarah Dean, Alex Zhao, Wenshuo Guo, Mihaela Curmei, Benjamin Recht, Michael I. Jordan
2020	Misc	`conf`	Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions. CoRL Sarah Dean, Andrew J. Taylor, Ryan K. Cosner, Benjamin Recht, Aaron D. Ames
2020	J	`jnl`	Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions. CoRR Sarah Dean, Andrew J. Taylor, Ryan K. Cosner, Benjamin Recht, Aaron D. Ames
2020	J	`jnl`	On the Sample Complexity of the Linear Quadratic Regulator. Found. Comput. Math. Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu
2020	—	`conf`	Recommendations and user agency: the reachability of collaboratively-filtered information. FAT* Sarah Dean, Sarah Rich, Benjamin Recht
2020	—	`conf`	Robust Guarantees for Perception-Based Control. L4DC Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye
2020	J	`jnl`	Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty. CoRR Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames
2019	A*	`conf`	Delayed Impact of Fair Machine Learning. IJCAI Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
2019	J	`jnl`	Recommendations and User Agency: The Reachability of Collaboratively-Filtered Information. CoRR Sarah Dean, Sarah Rich, Benjamin Recht
2019	J	`jnl`	Robust Guarantees for Perception-Based Control. CoRR Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye
2019	C	`conf`	Safely Learning to Control the Constrained Linear Quadratic Regulator. ACC Sarah Dean, Stephen Tu, Nikolai Matni, Benjamin Recht
2018	J	`jnl`	A Broader View on Bias in Automated Decision-Making: Reflecting on Epistemology and Dynamics. CoRR Roel Dobbe, Sarah Dean, Thomas Krendl Gilbert, Nitin Kohli
2018	A*	`conf`	Delayed Impact of Fair Machine Learning. ICML Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
2018	J	`jnl`	Delayed Impact of Fair Machine Learning. CoRR Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt
2018	A*	`conf`	Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator. NeurIPS Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu
2018	J	`jnl`	Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator. CoRR Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu
2018	J	`jnl`	Safely Learning to Control the Constrained Linear Quadratic Regulator. CoRR Sarah Dean, Stephen Tu, Nikolai Matni, Benjamin Recht
2017	J	`jnl`	On the Sample Complexity of the Linear Quadratic Regulator. CoRR Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu