Celestine Mendler-Dünner
17 papers · 2019–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (3) 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (5)
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Renaissance Researcher
(9)
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Taxonomy Completionist
(45)
🧭
Keyword Pioneer
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(2)
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(6)
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(17)
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Prolific Year
(5)
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Keyword Collector
(89)
Conferences
NIPS (10)
ICML (6)
AAAI (1)
Top co-authors
Research topics
Keywords
performative prediction
(4)
stochastic optimization
(3)
distributed learning
(3)
causal inference
(3)
distribution shift
(3)
gradient descent
(3)
model deployment
(2)
collective action
(2)
performative power
(2)
gradient-based optimization
(2)
game theory
(2)
coordinate descent
(2)
strategic classification
(2)
digital platform
(2)
model evaluation
(1)
online learning
(1)
knowledge distillation
(1)
uncertainty quantification
(1)
zero-shot learning
(1)
model alignment
(1)
Papers
Causal Inference out of Control: Estimating Performativity without Treatment Randomization
ICML 2024
Questioning the Survey Responses of Large Language Models
NIPS 2024
An engine not a camera: Measuring performative power of online search
NIPS 2024
Evaluating language models as risk scores
NIPS 2024
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
NIPS 2024
Collaborative Learning via Prediction Consensus
NIPS 2023
Algorithmic Collective Action in Machine Learning
ICML 2023
Anticipating Performativity by Predicting from Predictions
NIPS 2022
Regret Minimization with Performative Feedback
ICML 2022
Performative Power
NIPS 2022
Differentially Private Stochastic Coordinate Descent
AAAI 2021
Test-time Collective Prediction
NIPS 2021
Alternative Microfoundations for Strategic Classification
ICML 2021
Stochastic Optimization for Performative Prediction
NIPS 2020
Randomized Block-Diagonal Preconditioning for Parallel Learning
ICML 2020
Performative Prediction
ICML 2020
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
NIPS 2019