Sarah Dean

Sarah Dean

University of California, Berkeley

H-index: 14

North America-United States

About Sarah Dean

Sarah Dean, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Machine Learning, Optimization, Control, Algorithmic Fairness.

His recent articles reflect a diverse array of research interests and contributions to the field:

Accounting for AI and Users Shaping One Another: The Role of Mathematical Models

Emergent specialization from participation dynamics and multi-learner retraining

Ranking with Long-Term Constraints

Online convex optimization with unbounded memory

Strategic Usage in a Multi-Learner Setting

Recommender Systems as Dynamical Systems: Interactions with Viewers and Creators

Perception-based sampled-data optimization of dynamical systems

Initializing Services in Interactive ML Systems for Diverse Users

Sarah Dean Information

University

Position

___

Citations(all)

1939

Citations(since 2020)

1870

Cited By

701

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

16

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Sarah Dean Skills & Research Interests

Machine Learning

Optimization

Control

Algorithmic Fairness

Top articles of Sarah Dean

Accounting for AI and Users Shaping One Another: The Role of Mathematical Models

arXiv preprint arXiv:2404.12366

2024/4/18

Emergent specialization from participation dynamics and multi-learner retraining

2024/4/18

Online convex optimization with unbounded memory

2023/12/10

Strategic Usage in a Multi-Learner Setting

arXiv preprint arXiv:2401.16422

2024/1/29

Recommender Systems as Dynamical Systems: Interactions with Viewers and Creators

2024/1/9

Perception-based sampled-data optimization of dynamical systems

IFAC-PapersOnLine

2023/1/1

Initializing Services in Interactive ML Systems for Diverse Users

arXiv preprint arXiv:2312.11846

2023/12/19

Random Features Approximation for Fast Data-Driven Control

NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems

2023/12

To Ask or Not To Ask: Robot-assisted Bite Acquisition with Human-in-the-loop Contextual Bandits

2023/11/5

Foreword for Workshop on Decision Making for Information Retrieval and Recommender Systems

2023/4/30

Decision-aid or Controller? Steering Human Decision Makers with Algorithms

arXiv preprint arXiv:2303.13712

2023/3/23

Controlling reachability in a collaboratively filtered recommender

2022/12/22

Cross-dataset propensity estimation for debiasing recommender systems

arXiv preprint arXiv:2212.13892

2022/12/22

Preference dynamics under personalized recommendations

2022/7/12

Modeling Content Creator Incentives on Algorithm-Curated Platforms

arXiv preprint arXiv:2206.13102

2022/6/27

Multi-learner risk reduction under endogenous participation dynamics

arXiv preprint arXiv:2206.02667

2022/6/6

Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems

Center for Long Term Cybersecurity Whitepaper Series

2022/2/11

Engineering a Safer Recommender System

Workshop on Responsible Decision Making in Dynamic Environments

2022

See List of Professors in Sarah Dean University(University of California, Berkeley)