Courses

Past

• Spring 2021: Machine learning with Kernel methods, Master M2 MVA (ENS Paris Saclay) and MASH (Dauphine, PSL University) (with Julien Mairal)
• Spring 2020: Kernel methods in machine learning, African Master on Machine Intelligence (AMMI), African Institute for Mathematical Sciences (AIMS), Kigali, Rwanda and Accra, Ghana
• Spring 2020: Machine learning with Kernel methods, Master M2 "Mathematique, Vision, Apprentissage", (Mathematics, vision, learning MS), Ecole normale superieure de Cachan (with Julien Mairal)
• Spring 2019: Kernel methods in machine learning, African Master on Machine Intelligence (AMMI), African Institute for Mathematical Sciences (AIMS), Kigali, Rwanda
• Spring 2019: Machine learning with Kernel methods, Master M2 "Mathematique, Vision, Apprentissage", (Mathematics, vision, learning MS), Ecole normale superieure de Cachan (with Julien Mairal)
• Spring 2018: Large-scale machine learning, MINES ParisTech
• Spring 2018: Machine learning with Kernel methods, Master M2 "Mathematique, Vision, Apprentissage", (Mathematics, vision, learning MS), Ecole normale superieure de Cachan (with Julien Mairal)
• Spring 2017: Large-scale machine learning and data mining, MINES ParisTech
• Spring 2017: Machine learning with Kernel methods, Master M2 "Mathematique, Vision, Apprentissage", (Mathematics, vision, learning MS), Ecole normale superieure de Cachan (with Julien Mairal)
• Spring 2017: Machine learning in computational biology, ENSAE
• Fall 2016: Machine learning, ENS Paris (with Francis Bach).
• Fall 2015: Support vector machines in computational biology, UC Berkeley.
• Spring 2015: Machine learning in computational biology, ENSAE
• Spring 2015: Machine learning with Kernel methods, Master M2 "Mathematique, Vision, Apprentissage", (Mathematics, vision, learning MS), Ecole normale superieure de Cachan
• Fall 2014: Support vector machines in computational biology, ES Genomics and Computational Biology module, Mines ParisTech.
• Spring 2014: Support vector machines and applications in computational biology, ES Machine learning module, Mines ParisTech.
• Spring 2014: Machine learning in computational biology, ENSAE
• Spring 2014: Machine learning with Kernel methods, Master M2 "Mathematique, Vision, Apprentissage", (Mathematics, vision, learning MS), Ecole normale superieure de Cachan
• Spring 2013: Support vector machines, kernels, and applications in computational biology, ES Machine learning module, Mines ParisTech.
• Spring 2013: Machine learning in computational biology, ENSAE
• Spring 2013: Statistical machine learning with Kernel methods, Master M2 "Mathematique, Vision, Apprentissage", (Mathematics, vision, learning MS), Ecole normale superieure de Cachan
• Spring 2012: Machine learning in computational biology, ENSAE
• Spring 2012: Statistical machine learning with Kernel methods, Master M2 "Mathematique, Vision, Apprentissage", (Mathematics, vision, learning MS), Ecole normale superieure de Cachan
• Spring 2011: Support vector machines, kernels, and applications in computational biology, ES Machine learning module, Mines ParisTech.
• Feb 2011: Statistical learning, Universite Gaston Berger, Saint-Louis, Senegal
• Spring 2011: Statistical machine learning with Kernel methods, Master M2 "Mathematique, Vision, Apprentissage", (Mathematics, vision, learning MS), Ecole normale superieure de Cachan
• Nov 2010: Machine learning in computational and systems biology, Malaysia Genome Institute
• Spring 2010: Support vector machines, kernels, and applications in computational biology, ES Machine learning module, Mines ParisTech.
• Spring 2010: Statistical machine learning with Kernel methods, Master M2 "Mathematique, Vision, Apprentissage", (Mathematics, vision, learning MS), Ecole normale superieure de Cachan
• Fall 2009: Machine learning in bioinformatics and drug discovery, Biology of cellular systems graduate course, Ecole normale superieure, Paris, France.
• Fall 2009: Supervised classification for structured data: applications in bio- and chemoinformatics, The analysis of patterns summer school, Pula Science Park, Cagliari, Italy, Sep. 27 - Oct. 3, 2009.
• Spring 2009: Statistical machine learning with Kernel methods, Master M2 "Mathematique, Vision, Apprentissage", (Mathematics, vision, learning MS), Ecole normale superieure de Cachan
• Spring 2008: Statistical machine learning with Kernel methods, Master M2 "Mathematique, Vision, Apprentissage", (Mathematics, vision, learning MS), Ecole normale superieure de Cachan
• Spring 2007: Kernel methods, Master M2 "Probabilités et Applications (Probability and Applications MS), Paris 6 University
• Spring 2007: Kernel methods,Master M2 "Mathematique, Vision, Apprentissage" (Mathematics, vision, learning MS), Ecole normale superieure de Cachan
• Fall 2006: "Kernel methods for computational biology and chemistry", Statistical Mathematics and Application courses, CIRM, Luminy, November 13-17, 2006.
• Summer 2006: "Kernel methods for computational biology",Machine Learning Summer School, Taipei, Taiwan, July 24 - August 4, 2006.
• Spring 2006: "Nonlinear Programming", INSEAD PhD program 2005-2006.
• Spring 2006: Kernel methods in computational biology, Master M2 "Probabilités et Applications (Probability and Applications MS), Paris 6 University
• Spring 2006: Kernel methods in computational biology, Master M2 "Mathematique, Vision, Apprentissage" (Mathematics, vision, learning MS), Ecole normale superieure de Cachan
• Spring 2005: SVM for strings and on graphs short course, Telecom Paris
• Spring 2005: Kernel methods in computational biology, Master M2 "Mathematique, Vision, Apprentissage" (Mathematics, vision, learning MS), Ecole normale superieure de Cachan
• Spring 2005: Kernel methods in computational biology, Master M2 "Probabilités et Applications" (Probability and Applications MS), Paris 6 University
• Spring 2004: SVM for computational genomics short course, Telecom Paris
• Spring 2004: Kernel methods in computational biology, DEA Mathematique, Vision, Apprentissage (Mathematics, vision, learning MS), Ecole normale superieure de Cachan
• Spring 2004: Kernel methods in computational biology, DEA Probabilités et Applications (Probability and Applications MS), Paris 6 University
• Summer 2002: Support vector machines in bioinformatics short course, Human Genome Center, Tokyo University.
• Fall 2001: Introduction to support vector machines (SVM) and application in bioinformatics seminar, Bioinformatics Center, Kyoto University.