Conference and Workshop Talks

As a speaker:

  • Emanuele Frandi, Maria Grazia Gasparo, Ricardo Nanculef and Alessandra Papini, Solving classification problems by approximate minimal enclosing ball algorithms (poster), 2011 SIAM Conference on Optimization, May 16-19, 2011, Darmstadt (Germany).
  • Emanuele Frandi and Alessandra Papini, Coordinate search algorithm in multigrid optimization. 3rd Conference on Optimization Methods and Software, May 13-17, 2012, Kolymvari (Greece).
  • Emanuele Frandi and Alessandra Papini, Multilevel direct search algorithms for discretized optimization problems. 3rd IMA Conference on Numerical Linear Algebra and Optimisation, September 10-12, 2012, Birmingham (UK).
  • Emanuele Frandi and Ricardo Nanculef, Novel Frank-Wolfe methods for training support vector machines. 11th EUROPT Workshop on Advances in Continuous Optimization, June 26-28, 2013, Firenze (Italy).
  • Emanuele Frandi and Alessandra Papini, Optimization by derivative-free multilevel methods. 4th International Conference on Continuous Optimization (ICCOPT), July 27 - August 1, 2013, Lisbon (Portugal).
  • Emanuele Frandi and Johan A. K. Suykens, Frank-Wolfe algorithms for SVMs: complexity and practical strategies, Workshop on Data-driven Modeling Methods and Applications, July 14-15, 2014, Leuven (Belgium).
  • Emanuele Frandi, Ricardo Nanculef, Claudio Sartori and Johan A.K. Suykens, On Frank-Wolfe methods: recent variants, perspectives and applications to machine learning, Optimization 2014, July 28-30, 2014, Guimaraes (Portugal).
  • Emanuele Frandi, Ricardo Nanculef and Johan A. K. Suykens, Complexity issues and randomization strategies in Frank-Wolfe algorithms for machine learning (poster), NIPS Workshop on Optimization for Machine Learning, December 12-13, 2014, Montréal (Canada).
  • Emanuele Frandi, Ricardo Nanculef and Johan A. K. Suykens, A PARTAN-accelerated Frank-Wolfe algorithm for large-scale SVM training, 2015 International Joint Conference on Neural Networks (IJCNN), July 12-17, 2015, Killarney (Ireland).
  • Emanuele Frandi, Ricardo Nanculef, Stefano Lodi, Claudio Sartori and Johan A. K. Suykens, Frank-Wolfe algorithms in Machine Learning: SVM training, Lasso regression and other applications (poster). MLSS 2015, August 23 - September 4, 2015, Kyoto (Japan).
  • Emanuele Frandi, Bertrand Gauthier, Ricardo Nanculef and Johan A. K. Suykens, Frank-Wolfe methods for scalable and sparse optimization in machine learning. International Workshop on Mathematical Aspects of Data Science, May 20-23, 2016, Shanghai (China).
  • Emanuele Frandi, Ricardo Nanculef and Johan A. K. Suykens, Scalable and sparse optimization in machine learning via conditional gradient methods. 5th International Conference on Continuous Optimization (ICCOPT), August 6-11, 2016, Tokyo (Japan).

Co-authored:

  • Emanuele Frandi, Maria Grazia Gasparo, Stefano Lodi, Ricardo Nanculef* and Claudio Sartori, A new algorithm for training SVMs using approximate minimal enclosing balls. 15th Iberoamerican Congress on Pattern Recognition, November 8-11, 2010, Sao Paulo (Brazil).
  • Emanuele Frandi and Alessandra Papini*, On a class of multilevel derivative-free algorithm. 11th EUROPT Workshop on Advances in Continuous Optimization, June 26-28, 2013, Firenze (Italy).
  • Marco Signoretto*, Emanuele Frandi, Zahra Karevan and Johan A. K. Suykens, High level high performance computing for multitask learning, International Workshop on Technical Computing for Machine Learning and Mathematical Engineering (TCMM), September 8-12, 2014, Leuven (Belgium).
  • Marco Signoretto*, Emanuele Frandi, Zahra Karevan and Johan A. K. Suykens, High level high performance computing for multitask learning of time-varying models, IEEE Symposium on Computational Intelligence in Big Data, December 9-12, 2014, Orlando (USA).
  • Emaunele Frandi, Ricardo Nanculef, Stefano Lodi*, Claudio Sartori and Johan A. K. Suykens, Fast and Scalable Lasso via Stochastic Frank-Wolfe Methods with a Convergence Guarantee, ECML-PKDD 2016, September 19-23, 2016, Riva del Garda (Italy).
  • Tadashi Tsubota*, Emanuele Frandi and Andrea Benucci, Sculpting the dynamics of neuronal networks in the mouse cortex with optogenetics tools, Neuroscience 2016, November 12-16, 2016, San Diego (USA).
* Speaker

Invited Seminars

  • Recent perspectives on Frank-Wolfe methods for Machine Learning, Department of Computer Science and Engineering, Università degli Studi di Bologna, February 5, 2015, Bologna (Italy).
  • An optimization-based framework for large-scale machine learning, RIKEN Brain Science Institute, August 21, 2015, Wako, Saitama (Japan).
  • Frank-Wolfe optimization for large-scale machine learning, Department of Computer Science, ETH Zürich, November 25, 2015, Zürich (Switzerland).