Celestine Dünner

According to our database, Celestine Dünner authored at least 40 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Performative Prediction: Past and Future.

Moritz Hardt, Celestine Mendler-Dünner

CoRR, 2023

Questioning the Survey Responses of Large Language Models.

Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner

CoRR, 2023

Causal Inference out of Control: Estimating the Steerability of Consumption.

Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner

CoRR, 2023

Collaborative Learning via Prediction Consensus.

Dongyang Fan, Celestine Mendler-Dünner, Martin Jaggi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Algorithmic Collective Action in Machine Learning.

Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic

Proceedings of the International Conference on Machine Learning, 2023

2022

Predicting from Predictions.

Celestine Mendler-Dünner, Frances Ding, Yixin Wang

CoRR, 2022

Anticipating Performativity by Predicting from Predictions.

Celestine Mendler-Dünner, Frances Ding, Yixin Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Performative Power.

Moritz Hardt, Meena Jagadeesan, Celestine Mendler-Dünner

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Regret Minimization with Performative Feedback.

Meena Jagadeesan, Tijana Zrnic, Celestine Mendler-Dünner

Proceedings of the International Conference on Machine Learning, 2022

2021

Test-time Collective Prediction.

Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Alternative Microfoundations for Strategic Classification.

Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt

Proceedings of the 38th International Conference on Machine Learning, 2021

Differentially Private Stochastic Coordinate Descent.

Georgios Damaskinos, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou, Thomas P. Parnell

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Tera-scale coordinate descent on GPUs.

Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis

Future Gener. Comput. Syst., 2020

Revisiting Design Choices in Proximal Policy Optimization.

Chloe Ching-Yun Hsu, Celestine Mendler-Dünner, Moritz Hardt

CoRR, 2020

Stochastic Optimization for Performative Prediction.

Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Performative Prediction.

Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt

Proceedings of the 37th International Conference on Machine Learning, 2020

Randomized Block-Diagonal Preconditioning for Parallel Learning.

Celestine Mendler-Dünner, Aurélien Lucchi

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

System-Aware Algorithms For Machine Learning.

Celestine Mendler-Dünner

PhD thesis, 2019

Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems.

Michail Vlachos, Celestine Dünner, Reinhard Heckel, Vassilios G. Vassiliadis, Thomas P. Parnell, Kubilay Atasu

IEEE Trans. Knowl. Data Eng., 2019

Breadth-first, Depth-next Training of Random Forests.

Andreea Anghel, Nikolas Ioannou, Thomas P. Parnell, Nikolaos Papandreou, Celestine Mendler-Dünner, Haris Pozidis

CoRR, 2019

Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle.

Michael Kaufmann, Kornilios Kourtis, Celestine Mendler-Dünner, Adrian Schüpbach, Thomas P. Parnell

CoRR, 2019

Sampling Acquisition Functions for Batch Bayesian Optimization.

Alessandro De Palma, Celestine Mendler-Dünner, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis

CoRR, 2019

SySCD: A System-Aware Parallel Coordinate Descent Algorithm.

Nikolas Ioannou, Celestine Mendler-Dünner, Thomas P. Parnell

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Linear Learning with Manycore Processors.

Eliza Wszola, Celestine Mendler-Dünner, Martin Jaggi, Markus Püschel

Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019

2018

Parallel training of linear models without compromising convergence.

Nikolas Ioannou, Celestine Dünner, Kornilios Kourtis, Thomas P. Parnell

CoRR, 2018

Snap ML: A Hierarchical Framework for Machine Learning.

Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Haralampos Pozidis

CoRR, 2018

Snap ML: A Hierarchical Framework for Machine Learning.

Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Gummadi Ravi, Madhusudanan Kandasamy, Haralampos Pozidis

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Distributed Second-Order Algorithm You Can Trust.

Celestine Dünner, Aurélien Lucchi, Matilde Gargiani, An Bian, Thomas Hofmann, Martin Jaggi

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Efficient Use of Limited-Memory Resources to Accelerate Linear Learning.

Celestine Dünner, Thomas P. Parnell, Martin Jaggi

CoRR, 2017

Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems.

Celestine Dünner, Thomas P. Parnell, Martin Jaggi

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Large-Scale Stochastic Learning Using GPUs.

Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters.

Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Michail Vlachos, Haralampos Pozidis

Proceedings of the 46th International Conference on Parallel Processing, 2017

Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering.

Reinhard Heckel, Michail Vlachos, Thomas P. Parnell, Celestine Dünner

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Understanding and optimizing the performance of distributed machine learning applications on apache spark.

Celestine Dünner, Thomas P. Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Linear-complexity relaxed word Mover's distance with GPU acceleration.

Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, Abdel Labbi

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Capacity of the MLC NAND Flash Channel.

Thomas P. Parnell, Celestine Dünner, Thomas Mittelholzer, Nikolaos Papandreou

IEEE J. Sel. Areas Commun., 2016

High-Performance Distributed Machine Learning using Apache SPARK.

Celestine Dünner, Thomas P. Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis

CoRR, 2016

Primal-Dual Rates and Certificates.

Celestine Dünner, Simone Forte, Martin Takác, Martin Jaggi

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Endurance limits of MLC NAND flash.

Thomas P. Parnell, Celestine Dünner, Thomas Mittelholzer, Nikolaos Papandreou, Haralampos Pozidis

Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014

Power control for cellular networks with large antenna arrays and ubiquitous relaying.

Raphael T. L. Rolny, Celestine Dünner, Armin Wittneben

Proceedings of the 2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2014