Celestine Mendler-Dünner

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 36

Top Topics

Prediction Accuracy

Collaborative Learning

Top Venues

Publications

Celestine Mendler-Dünner, Gabriele Carovano, Moritz Hardt
An engine not a camera: Measuring performative power of online search. CoRR (2024)
Joachim Baumann, Celestine Mendler-Dünner
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists. CoRR (2024)
André F. Cruz, Moritz Hardt, Celestine Mendler-Dünner
Evaluating language models as risk scores. CoRR (2024)
Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner
Causal Inference out of Control: Estimating the Steerability of Consumption. CoRR (2023)
Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner
Questioning the Survey Responses of Large Language Models. CoRR (2023)
Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic
Algorithmic Collective Action in Machine Learning. ICML (2023)
Dongyang Fan, Celestine Mendler-Dünner, Martin Jaggi
Collaborative Learning via Prediction Consensus. NeurIPS (2023)
Moritz Hardt, Celestine Mendler-Dünner
Performative Prediction: Past and Future. CoRR (2023)
Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic
Algorithmic Collective Action in Machine Learning. CoRR (2023)
Dongyang Fan, Celestine Mendler-Dünner, Martin Jaggi
Collaborative Learning via Prediction Consensus. CoRR (2023)
Celestine Mendler-Dünner, Frances Ding, Yixin Wang
Anticipating Performativity by Predicting from Predictions. NeurIPS (2022)
Meena Jagadeesan, Tijana Zrnic, Celestine Mendler-Dünner
Regret Minimization with Performative Feedback. CoRR (2022)
Meena Jagadeesan, Tijana Zrnic, Celestine Mendler-Dünner
Regret Minimization with Performative Feedback. ICML (2022)
Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner
Performative Power. CoRR (2022)
Celestine Mendler-Dünner, Frances Ding, Yixin Wang
Predicting from Predictions. CoRR (2022)
Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner
Performative Power. NeurIPS (2022)
Georgios Damaskinos, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou, Thomas P. Parnell
Differentially Private Stochastic Coordinate Descent. AAAI (2021)
Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan
Test-time Collective Prediction. CoRR (2021)
Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt
Alternative Microfoundations for Strategic Classification. CoRR (2021)
Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt
Alternative Microfoundations for Strategic Classification. ICML (2021)
Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan
Test-time Collective Prediction. NeurIPS (2021)
Celestine Mendler-Dünner, Aurélien Lucchi
Randomized Block-Diagonal Preconditioning for Parallel Learning. ICML (2020)
Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt
Performative Prediction. ICML (2020)
Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt
Performative Prediction. CoRR (2020)
Georgios Damaskinos, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou, Thomas P. Parnell
Differentially Private Stochastic Coordinate Descent. CoRR (2020)
Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt
Stochastic Optimization for Performative Prediction. CoRR (2020)
Chloe Ching-Yun Hsu, Celestine Mendler-Dünner, Moritz Hardt
Revisiting Design Choices in Proximal Policy Optimization. CoRR (2020)
Celestine Mendler-Dünner, Aurélien Lucchi
Randomized Block-Diagonal Preconditioning for Parallel Learning. CoRR (2020)
Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt
Stochastic Optimization for Performative Prediction. NeurIPS (2020)
Eliza Wszola, Celestine Mendler-Dünner, Martin Jaggi, Markus Püschel
On Linear Learning with Manycore Processors. CoRR (2019)
Michael Kaufmann, Kornilios Kourtis, Celestine Mendler-Dünner, Adrian Schüpbach, Thomas P. Parnell
Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle. CoRR (2019)
Andreea Anghel, Nikolas Ioannou, Thomas P. Parnell, Nikolaos Papandreou, Celestine Mendler-Dünner, Haris Pozidis
Breadth-first, Depth-next Training of Random Forests. CoRR (2019)
Nikolas Ioannou, Celestine Mendler-Dünner, Thomas P. Parnell
SySCD: A System-Aware Parallel Coordinate Descent Algorithm. NeurIPS (2019)
Eliza Wszola, Celestine Mendler-Dünner, Martin Jaggi, Markus Püschel
On Linear Learning with Manycore Processors. HiPC (2019)
Alessandro De Palma, Celestine Mendler-Dünner, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis
Sampling Acquisition Functions for Batch Bayesian Optimization. CoRR (2019)
Nikolas Ioannou, Celestine Mendler-Dünner, Thomas P. Parnell
SySCD: A System-Aware Parallel Coordinate Descent Algorithm. CoRR (2019)