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Celestine Mendler-Dünner
Celestine Mendler-Dünner
ELLIS Institute & Max Planck Institute for Intelligent Systems, Tübingen
Adresã de e-mail confirmatã pe tuebingen.mpg.de - Pagina de pornire
Titlu
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Performative prediction
JC Perdomo, T Zrnic, C Mendler-Dünner, M Hardt
ICML 2020, 2020
4012020
Stochastic Optimization for Performative Prediction
C Mendler-Dünner, J Perdomo, T Zrnic, M Hardt
NeurIPS 2020 33, 2020
1302020
Scalable and interpretable product recommendations via overlapping co-clustering
R Heckel, M Vlachos, T Parnell, C Mendler-Dünner
ICDE 2017, 1033-1044, 2017
862017
Revisiting Design Choices in Proximal Policy Optimization
C Ching-Yun Hsu, C Mendler-Dünner, M Hardt
RWRL@NeurIPS 2020 - Workshop on Real World Challenges in RL, 2020
81*2020
Primal-dual rates and certificates
C Dünner, S Forte, M Takáè, M Jaggi
ICML 2016, 2016
702016
Alternative Microfoundations for Strategic Classification
M Jagadeesan, C Mendler-Dünner, M Hardt
ICML 2021, 4687-4697, 2021
552021
Performative power
M Hardt*, M Jagadeesan*, C Mendler-Dünner*
NeurIPS 2022, 2022
532022
Computer algorithms for three-dimensional measurement of humeral anatomy: analysis of 140 paired humeri
L Vlachopoulos, C Dünner, T Gass, M Graf, O Goksel, C Gerber, ...
JSES 2016 - Journal of shoulder and elbow surgery 25, 2016
452016
Questioning the survey responses of large language models
R Dominguez-Olmedo, M Hardt, C Mendler-Dünner
NeurIPS 2024, 2023
422023
Regret Minimization with Performative Feedback
M Jagadeesan, T Zrnic, C Mendler-Dünner
ICML 2022 162, 9760--9785, 2022
422022
Snap ML: A hierarchical framework for machine learning
C Dünner, T Parnell, D Sarigiannis, N Ioannou, A Anghel, G Ravi, ...
NeurIPS 2018, 250-260, 2018
39*2018
A Distributed Second-Order Algorithm You Can Trust
C Dünner, A Lucchi, M Gargiani, A Bian, T Hofmann, M Jaggi
ICML 2018, 2018
372018
Anticipating performativity by predicting from predictions
C Mendler-Dünner, F Ding, Y Wang
NeurIPS 2022 35, 31171-31185, 2022
362022
Addressing interpretability and cold-start in matrix factorization for recommender systems
M Vlachos*, C Dünner*, R Heckel, VG Vassiliadis, T Parnell, K Atasu
TKDE 2018 31 (7), 1253-1266, 2018
352018
Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark
C Dünner, T Parnell, K Atasu, M Sifalakis, H Pozidis
IEEE Big Data 2017, 2017
27*2017
Performative prediction: Past and future
M Hardt, C Mendler-Dünner
arXiv preprint arXiv:2310.16608, 2023
252023
Sampling acquisition functions for batch Bayesian optimization
A De Palma, C Mendler-Dünner, T Parnell, A Anghel, H Pozidis
BNP@NeurIPS 2018 - Workshop on Bayesian Nonparametrics, 2019
242019
Algorithmic collective action in machine learning
M Hardt*, E Mazumdar*, C Mendler-Dünner*, T Zrnic*
ICML 2023, 12570-12586, 2023
232023
Large-Scale Stochastic Learning using GPUs
T Parnell, C Dünner, K Atasu, M Sifalakis, H Pozidis
ParLearning 2017 - Proceedings of the 6th International Workshop on Parallel …, 2017
192017
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
C Dünner, T Parnell, M Jaggi
NIPS 2017, 4261-4270, 2017
182017
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