Celestine Dünner

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 21

Top Topics

Matrix Factorization

Machine Learning

Top Venues

IEEE J. Sel. Areas Commun.

Publications

Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis
Tera-scale coordinate descent on GPUs. Future Gener. Comput. Syst. 108 (2020)
Michail Vlachos, Celestine Dünner, Reinhard Heckel, Vassilios G. Vassiliadis, Thomas P. Parnell, Kubilay Atasu
Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems. IEEE Trans. Knowl. Data Eng. 31 (7) (2019)
Celestine Dünner, Aurélien Lucchi, Matilde Gargiani, An Bian, Thomas Hofmann, Martin Jaggi
A Distributed Second-Order Algorithm You Can Trust. ICML (2018)
Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Gummadi Ravi, Madhusudanan Kandasamy, Haralampos Pozidis
Snap ML: A Hierarchical Framework for Machine Learning. NeurIPS (2018)
Nikolas Ioannou, Celestine Dünner, Kornilios Kourtis, Thomas P. Parnell
Parallel training of linear models without compromising convergence. CoRR (2018)
Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Haralampos Pozidis
Snap ML: A Hierarchical Framework for Machine Learning. CoRR (2018)
Celestine Dünner, Aurélien Lucchi, Matilde Gargiani, An Bian, Thomas Hofmann, Martin Jaggi
A Distributed Second-Order Algorithm You Can Trust. CoRR (2018)
Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, Abdel Labbi
Linear-Complexity Relaxed Word Mover's Distance with GPU Acceleration. CoRR (2017)
Celestine Dünner, Thomas P. Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis
Understanding and optimizing the performance of distributed machine learning applications on apache spark. IEEE BigData (2017)
Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis
Large-Scale Stochastic Learning Using GPUs. IPDPS Workshops (2017)
Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Michail Vlachos, Haralampos Pozidis
High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters. ICPP (2017)
Thomas P. Parnell, Celestine Dünner, Kubilay Atasu, Manolis Sifalakis, Haris Pozidis
Large-Scale Stochastic Learning using GPUs. CoRR (2017)
Reinhard Heckel, Michail Vlachos, Thomas P. Parnell, Celestine Dünner
Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering. ICDE (2017)
Celestine Dünner, Thomas P. Parnell, Martin Jaggi
Efficient Use of Limited-Memory Resources to Accelerate Linear Learning. CoRR (2017)
Celestine Dünner, Thomas P. Parnell, Martin Jaggi
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems. NIPS (2017)
Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, Abdel Labbi
Linear-complexity relaxed word Mover's distance with GPU acceleration. IEEE BigData (2017)
Celestine Dünner, Simone Forte, Martin Takác, Martin Jaggi
Primal-Dual Rates and Certificates. CoRR (2016)
Celestine Dünner, Thomas P. Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis
High-Performance Distributed Machine Learning using Apache SPARK. CoRR (2016)
Thomas P. Parnell, Celestine Dünner, Thomas Mittelholzer, Nikolaos Papandreou
Capacity of the MLC NAND Flash Channel. IEEE J. Sel. Areas Commun. 34 (9) (2016)
Celestine Dünner, Simone Forte, Martin Takác, Martin Jaggi
Primal-Dual Rates and Certificates. ICML (2016)
Thomas P. Parnell, Celestine Dünner, Thomas Mittelholzer, Nikolaos Papandreou, Haralampos Pozidis
Endurance limits of MLC NAND flash. ICC (2015)
Raphael T. L. Rolny, Celestine Dünner, Armin Wittneben
Power control for cellular networks with large antenna arrays and ubiquitous relaying. SPAWC (2014)