Sparse Convex Optimization Methods for Machine Learning

• dissertation

Diss. ETH No. 20013 Sparse Convex Optimization Methods for Machine Learning A dissertation submitted to ETH Zurich for the degree of Doctor of Sciences presented by Martin Jaggi Dipl. Math. ETH born Mai 23, 1982 citizen of Lenk BE, Switzerland accepted on the recommendation of Prof. Dr. Emo Welzl, examiner Dr. Bernd Gartner, co-examiner Dr. Elad Hazan, co-examiner Prof. Dr. Joachim Giesen, co-examiner Prof.

• poor man
• entire path
• low rank approximation
• die gleichen grenzen
• regularisierte konvexe
• gute von
• bewegen wir
• convex optimization
• norm
• optimization