Celestine Mendler-Dünner
Celestine Mendler-Dünner
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
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
512016
Scalable and interpretable product recommendations via overlapping co-clustering
R Heckel, M Vlachos, T Parnell, C Dünner
ICDE 2017 - IEEE 33rd International Conference on Data Engineering, 1033-1044, 2017
462017
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
262016
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
172018
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
162018
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
13*2017
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
132017
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
122017
Performative prediction
JC Perdomo, T Zrnic, C Mendler-Dünner, M Hardt
ICML 2020 - International Conference on Machine Learning, 2020
112020
Addressing interpretability and cold-start in matrix factorization for recommender systems
M Vlachos, C Dünner, R Heckel, VG Vassiliadis, T Parnell, K Atasu
TKDE - IEEE Transactions on Knowledge and Data Engineering 31 (7), 1253-1266, 2018
112018
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
102017
Tera-scale coordinate descent on GPUs
T Parnell, C Dünner, K Atasu, M Sifalakis, H Pozidis
FGCS - Future Generation Computer Systems 108, 1173-1191, 2020
52020
Sampling acquisition functions for batch Bayesian optimization
A De Palma, C Mendler-Dünner, T Parnell, A Anghel, H Pozidis
BNP@NeurIPS 2018 - Workshop on Bayesian Nonparametrics, 2019
32019
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
SySCD: A System-Aware Parallel Coordinate Descent Algorithm
N Ioannou, C Mendler-Dünner, T Parnell
NeurIPS 2019 - Advances in Neural Information Processing Systems, 592-602, 2019
22019
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
22016
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
Differentially Private Stochastic Coordinate Descent
G Damaskinos, C Mendler-Dünner, R Guerraoui, N Papandreou, ...
PPML@NeurIPS 2020 - Workshop on Privacy Preserving ML, 2020
12020
On Linear Learning with Manycore Processors
E Wszola, C Mendler-Dünner, M Jaggi, M Püschel
HiPC 2019 - IEEE International Conference on High Performance Computing …, 2019
12019
Parallel training of linear models without compromising convergence
N Ioannou, C Dünner, K Kourtis, T Parnell
arXiv preprint arXiv:1811.01564, 2018
12018
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Articles 1–20