Martin Jaggi
Martin Jaggi
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization
M Jaggi
ICML 2013 - Proceedings of the 30th International Conference on Machine Learning, 2013
8872013
Unsupervised learning of sentence embeddings using compositional n-gram features
M Pagliardini, P Gupta, M Jaggi
NAACL 2018 - Conference of the North American Chapter of the Association for …, 2018
3622018
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
S Lacoste-Julien, M Jaggi, M Schmidt, P Pletscher
ICML 2013 - Proceedings of the 30th International Conference on Machine Learning, 2013
3392013
Communication-Efficient Distributed Dual Coordinate Ascent
M Jaggi, V Smith, M Takác, J Terhorst, S Krishnan, T Hofmann, MI Jordan
NIPS 2014 - Advances in Neural Information Processing Systems, 3068-3076, 2014
2972014
Advances and Open Problems in Federated Learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
2832019
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
S Lacoste-Julien, M Jaggi
NIPS 2015 - Advances in Neural Information Processing Systems, 2015
2652015
A Simple Algorithm for Nuclear Norm Regularized Problems
M Jaggi, M Sulovsky
ICML 2010 - Proceedings of the 27th International Conference on Machine …, 2010
2492010
Adding vs. averaging in distributed primal-dual optimization
C Ma, V Smith, M Jaggi, MI Jordan, P Richtárik, M Takáč
ICML 2015 - Proceedings of the 32th International Conference on Machine …, 2015
1492015
Sparsified SGD with Memory
SU Stich, JB Cordonnier, M Jaggi
NeurIPS 2018 - Advances in Neural Information Processing Systems, 2018
1442018
Learning Aerial Image Segmentation from Online Maps
P Kaiser, JD Wegner, A Lucchi, M Jaggi, T Hofmann, K Schindler
IEEE Transactions on Geoscience and Remote Sensing, 2017
1332017
CoCoA: A general framework for communication-efficient distributed optimization
V Smith, S Forte, C Ma, M Takac, MI Jordan, M Jaggi
Journal of Machine Learning Research 18 (230), 1−49, 2018
1302018
Don't Use Large Mini-Batches, Use Local SGD
T Lin, SU Stich, KK Patel, M Jaggi
ICLR 2020 - International Conference on Learning Representations, 2019
1222019
SwissCheese at SemEval-2016 Task 4: Sentiment Classification Using an Ensemble of Convolutional Neural Networks with Distant Supervision
J Deriu, M Gonzenbach, F Uzdilli, A Lucchi, V De Luca, M Jaggi
SemEval-2016 - Proceedings of the 10th International Workshop on Semantic …, 2016
1092016
Evaluating the Search Phase of Neural Architecture Search
K Yu, C Sciuto, M Jaggi, C Musat, M Salzmann
ICLR 2020 - International Conference on Learning Representations, 2019
1062019
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication
A Koloskova, SU Stich, M Jaggi
ICML 2019 - Proceedings of the 36th International Conference on Machine Learning, 2019
992019
Sparse Convex Optimization Methods for Machine Learning
M Jaggi
ETH Zürich, 2011
922011
Leveraging Large Amounts of Weakly Supervised Data for Multi-Language Sentiment Classification
J Deriu, A Lucchi, V De Luca, A Severyn, S Müller, M Cieliebak, ...
WWW 2017 - International World Wide Web Conference, 2017
902017
Error Feedback Fixes SignSGD and other Gradient Compression Schemes
SP Karimireddy, Q Rebjock, SU Stich, M Jaggi
ICML 2019 - Proceedings of the 36th International Conference on Machine Learning, 2019
882019
Distributed Optimization with Arbitrary Local Solvers
C Ma, J Konečný, M Jaggi, V Smith, MI Jordan, P Richtárik, M Takáč
Optimization Methods and Software 32 (4), 813-848, 2017
852017
Audio Based Bird Species Identification using Deep Learning Techniques
E Sprengel, M Jaggi, Y Kilcher, T Hofmann
CLEF 2016 - Conference and Labs of the Evaluation Forum, 547-559, 2016
702016
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Articles 1–20