Sarah Dean
18 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Academic Marathon (7)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(11)
π
Grand Slam
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(81)
π
Century Club
(17)
Conferences
ICML (5)
L4DC (4)
NIPS (3)
AISTATS (2)
AAAI (1)
CORL (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
autonomous vehicle
(3)
temporal modeling
(2)
static classification
(2)
regret bound
(2)
fairness criterion
(2)
non-convex optimization
(1)
online learning
(1)
multi-task learning
(1)
loss landscape
(1)
online convex optimization
(1)
model uncertainty
(1)
optimal control
(1)
system identification
(1)
gradient descent
(1)
autonomous driving
(1)
nonlinear control
(1)
multi-agent learning
(1)
bias detection
(1)
state estimation
(1)
nonparametric regression
(1)
Papers
Capacity Constraints Make Admissions Processes Less Predictable
AAAI 2026
Policy Design for Two-sided Platforms with Participation Dynamics
ICML 2025
Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
L4DC 2025
Learning from Streaming Data when Users Choose
ICML 2024
Strategic Usage in a Multi-Learner Setting
AISTATS 2024
Initializing Services in Interactive ML Systems for Diverse Users
NIPS 2024
Emergent specialization from participation dynamics and multi-learner retraining
AISTATS 2024
Random features approximation for control-affine systems
L4DC 2024
Online Convex Optimization with Unbounded Memory
NIPS 2023
Modeling content creator incentives on algorithm-curated platforms
ICLR 2023
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
ICML 2021
Certainty Equivalent Perception-Based Control
L4DC 2021
Robust Guarantees for Perception-Based Control
L4DC 2020
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
CORL 2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
ICML 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
NIPS 2018