Sarah Dean
20 papers · 2018–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Conference Pioneer
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(7)
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Keyword Collector
(109)
Top co-authors
Research topics
Machine Learning
(15)
Artificial Intelligence
(10)
Core AI
(10)
Optimization & Theory
(10)
Mathematics & Optimization
(6)
Optimization
(6)
Application Areas
(5)
Learning Types
(5)
Data Science & Analytics
(4)
Applications
(4)
Core Methods
(4)
Robotics
(3)
Systems
(3)
Computer Science
(1)
Interdisciplinary
(1)
Keywords
autonomous vehicle
(3)
multi-agent learning
(2)
regret bound
(2)
user choice
(2)
system identification
(2)
game theory
(2)
participation dynamic
(2)
recommender system
(2)
static classification
(2)
fairness criterion
(2)
temporal modeling
(2)
autonomous driving
(1)
non-convex optimization
(1)
loss landscape
(1)
bias detection
(1)
sample complexity
(1)
online learning
(1)
multi-task learning
(1)
convergence analysis
(1)
gradient descent
(1)
Papers
Capacity Constraints Make Admissions Processes Less Predictable
AAAI 2026
Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing
UAI 2026
Sparse-to-Field Reconstruction via Stochastic Neural Dynamic Mode Decomposition
L4DC 2026
Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
L4DC 2025
Policy Design for Two-sided Platforms with Participation Dynamics
ICML 2025
Emergent specialization from participation dynamics and multi-learner retraining
AISTATS 2024
Initializing Services in Interactive ML Systems for Diverse Users
NeurIPS 2024
Learning from Streaming Data when Users Choose
ICML 2024
Random features approximation for control-affine systems
L4DC 2024
Strategic Usage in a Multi-Learner Setting
AISTATS 2024
Modeling content creator incentives on algorithm-curated platforms
ICLR 2023
Online Convex Optimization with Unbounded Memory
NeurIPS 2023
Certainty Equivalent Perception-Based Control
L4DC 2021
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
ICML 2021
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
ICML 2020
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
CoRL 2020
Robust Guarantees for Perception-Based Control
L4DC 2020
Delayed Impact of Fair Machine Learning
IJCAI 2019
Delayed Impact of Fair Machine Learning
ICML 2018
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
NeurIPS 2018