Celestine Mendler-Dünner
Celestine Mendler-Dünner
Verified email at berkeley.edu - Homepage
TitleCited byYear
Primal-dual rates and certificates
C Dünner, S Forte, M Takáč, M Jaggi
ICML 2016 - Proceedings of The 33rd International Conference on Machine Learning, 2016
412016
Scalable and interpretable product recommendations via overlapping co-clustering
R Heckel, M Vlachos, T Parnell, C Duenner
ICDE 2017 - IEEE 33rd International Conference on Data Engineering, 1033-1044, 2017
292017
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, ...
Journal of shoulder and elbow surgery 25 (2), e38-e48, 2016
222016
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 - IEEE International Conference on Big Data, 2017
10*2017
A Distributed Second-Order Algorithm You Can Trust
C Dünner, A Lucchi, M Gargiani, A Bian, T Hofmann, M Jaggi
ICML 2018 - International Conference on Machine Learning, Stockholm, 2018
92018
Snap ML: A hierarchical framework for machine learning
C Dünner, T Parnell, D Sarigiannis, N Ioannou, A Anghel, G Ravi, ...
NeurIPS 2018 - Advances in Neural Information Processing Systems, 250-260, 2018
82018
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems
C Dünner, T Parnell, M Jaggi
NIPS 2017 - Advances in Neural Information Processing Systems, 4261-4270, 2017
82017
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
62017
Tera-scale coordinate descent on GPUs
T Parnell, C Dünner, K Atasu, M Sifalakis, H Pozidis
Future Generation Computer Systems, 2018
42018
Linear-Complexity Relaxed Word Mover's Distance with GPU Acceleration
K Atasu, T Parnell, C Dünner, M Sifalakis, H Pozidis, V Vasileiadis, ...
IEEE Big Data 2017 - IEEE International Conference on Big Data, 2017
32017
Power control for cellular networks with large antenna arrays and ubiquitous relaying
RTL Rolny, C Dünner, A Wittneben
SPAWC 2014 - IEEE 15th International Workshop on Signal Processing Advances …, 2014
32014
Endurance limits of MLC NAND flash
T Parnell, C Dünner, T Mittelholzer, N Papandreou, H Pozidis
ICC 2015 - IEEE International Conference on Communications, 376-381, 2015
22015
Addressing Interpretability and Cold-Start in Matrix Factorization for Recommender Systems
M Vlachos, C Dünner, R Heckel, VG Vassiliadis, T Parnell, K Atasu
IEEE Transactions on Knowledge and Data Engineering 31 (7), 1253-1266, 2018
12018
High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters
K Atasu, T Parnell, C Dünner, M Vlachos, H Pozidis
ICPP 2017 - 46th International Conference on Parallel Processing, 372-381, 2017
12017
Capacity of the MLC NAND Flash Channel
T Parnell, C Dünner, T Mittelholzer, N Papandreou
J-SAC - IEEE Journal on Selected Areas in Communications 34 (9), 2354-2365, 2016
12016
Memory-based data selection scheme for machine learning training on limited memory resources
C Duenner, TP Parnell, C Pozidis
US Patent App. 15/953,440, 2019
2019
Breadth-first, Depth-next Training of Random Forests
A Anghel, N Ioannou, T Parnell, N Papandreou, C Mendler-Dünner, ...
arXiv preprint arXiv:1910.06853, 2019
2019
Addressing Algorithmic Bottlenecks in Elastic Machine Learning with Chicle
M Kaufmann, K Kourtis, C Mendler-Dünner, A Schüpbach, T Parnell
arXiv preprint arXiv:1909.04885, 2019
2019
On Linear Learning with Manycore Processors
E Wszola, C Dünner, M Jaggi, M Püschel
arXiv preprint arXiv:1905.00626, 2019
2019
Sampling Acquisition Functions for Batch Bayesian Optimization
A De Palma, C Mendler-Dünner, T Parnell, A Anghel, H Pozidis
arXiv preprint arXiv:1903.09434, 2019
2019
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Articles 1–20