Celestine Dünner

22 papers A* 4B 1Journal 11Unranked 6

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