Celestine Mendler-Dünner
17 papers · 2019–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🗺️ Taxonomy Completionist (43) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
💎
Century Club · Bronze
🌈
Renaissance Researcher
(7)
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
🗃️
Keyword Collector
(94)
Venues
Top co-authors
Research topics
Machine Learning
(15)
Artificial Intelligence
(9)
Core AI
(9)
Optimization & Theory
(9)
Learning Types
(8)
Application Areas
(7)
Mathematics & Optimization
(4)
Optimization
(4)
Data Science & Analytics
(3)
Applications
(3)
Core Methods
(3)
Knowledge & Reasoning
(2)
Reasoning
(2)
Computer Science
(1)
Deep Learning
(1)
Keywords
performative prediction
(4)
distributed learning
(3)
digital platform
(3)
causal inference
(3)
stochastic optimization
(3)
gradient descent
(3)
distribution shift
(3)
model deployment
(2)
gradient-based optimization
(2)
collective action
(2)
performative power
(2)
game theory
(2)
coordinate descent
(2)
strategic classification
(2)
model evaluation
(1)
online learning
(1)
knowledge distillation
(1)
uncertainty quantification
(1)
zero-shot learning
(1)
regret minimization
(1)
Papers
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
NeurIPS 2024
An engine not a camera: Measuring performative power of online search
NeurIPS 2024
Causal Inference out of Control: Estimating Performativity without Treatment Randomization
ICML 2024
Evaluating language models as risk scores
NeurIPS 2024
Questioning the Survey Responses of Large Language Models
NeurIPS 2024
Algorithmic Collective Action in Machine Learning
ICML 2023
Collaborative Learning via Prediction Consensus
NeurIPS 2023
Anticipating Performativity by Predicting from Predictions
NeurIPS 2022
Performative Power
NeurIPS 2022
Regret Minimization with Performative Feedback
ICML 2022
Alternative Microfoundations for Strategic Classification
ICML 2021
Differentially Private Stochastic Coordinate Descent
AAAI 2021
Test-time Collective Prediction
NeurIPS 2021
Performative Prediction
ICML 2020
Randomized Block-Diagonal Preconditioning for Parallel Learning
ICML 2020
Stochastic Optimization for Performative Prediction
NeurIPS 2020
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
NeurIPS 2019