| 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 | 42 | 2016 |
| 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 | 31 | 2017 |
| 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 | 23 | 2016 |
| 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 | 12* | 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 | 10 | 2017 |
| 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 | 9 | 2018 |
| 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 | 9 | 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 | 8 | 2018 |
| Tera-scale coordinate descent on GPUs T Parnell, C Dünner, K Atasu, M Sifalakis, H Pozidis Future Generation Computer Systems, 2018 | 5 | 2018 |
| 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 | 4 | 2017 |
| 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 | 3 | 2014 |
| 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 | 2 | 2016 |
| 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 | 2 | 2015 |
| 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 | 1 | 2018 |
| 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 | 1 | 2017 |
| 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 |
Thomas ParnellIBM ResearchVerifierad e-postadress på zurich.ibm.com
