Martin Jaggi
Martin Jaggi
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TitleCited byYear
Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization
M Jaggi
ICML 2013 - Proceedings of the 30th International Conference on Machine Learning, 2013
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
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
A Simple Algorithm for Nuclear Norm Regularized Problems
M Jaggi, M Sulovsky
ICML 2010 - Proceedings of the 27th International Conference on Machine …, 2010
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
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
S Lacoste-Julien, M Jaggi
NIPS 2015 - Advances in Neural Information Processing Systems, 2015
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
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
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
Sparse Convex Optimization Methods for Machine Learning
M Jaggi
ETH Zürich, 2011
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
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
Coresets for Polytope Distance
B Gärtner, M Jaggi
SoCG - Proceedings of the 25th annual Symposium on Computational Geometry, 33-42, 2009
Sparsified SGD with Memory
SU Stich, JB Cordonnier, M Jaggi
NeurIPS 2018 - Advances in Neural Information Processing Systems, 2018
An Affine Invariant Linear Convergence Analysis for Frank-Wolfe Algorithms
S Lacoste-Julien, M Jaggi
arXiv preprint arXiv:1312.7864, 2013
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
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
Audio Based Bird Species Identification using Deep Learning Techniques
E Sprengel, M Jaggi, Y Kilcher, T Hofmann
LifeCLEF 2016, 547-559, 2016
Primal-Dual Rates and Certificates
C Dünner, S Forte, M Takáč, M Jaggi
ICML 2016 - Proceedings of The 33rd International Conference on Machine …, 2016
An Equivalence between the Lasso and Support Vector Machines
M Jaggi
Regularization, Optimization, Kernels, and Support Vector Machines, 1-26, 2014
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