Surveys and Lecture Notes

Lecture Notes

• Lectures on combinatorial statistics presented at the 47th Probability Summer School, Saint-Flour, 2017
• Concentration-of-measure inequalities presented at the Machine Learning Summer School 2003, Australian National University, Canberra, at the Workshop on combinatorics, probability and algorithms 2003, held at the CRM in Montreal, at the Winter School on Probabilistic Methods in High Dimension Phenomena , Toulouse, January 10-14, 2005 and at the Workshop de Combinatória e Concentração de Medida IMPA, Rio de Janeiro, February 23-25, 2005.
• Lectures on prediction of individual sequences presented at 2001, a Statistics Odyssey, Institut Henri Poincare, Paris.
• G. Lugosi, Pattern classification and learning theory. published in. L. Györfi (editor), Principles of Nonparametric Learning Springer, Wien, New York, pp. 1--56, 2002. 
  • Presented at CISM International Centre for Mechanical Sciences, July 9-13, 2001.
  • Also presented at The 22nd Finnish Summer School on Probability Theory, 5--9 June, 2000, at the Garchy Seminar on Mathematical Statistics and Applications, August 27--September 1, 2000, in the ``Programa de doctorado interuniversitario: estadística e investigación operativa'', Universidade da Coruña, June, 2001

Survey Papers

• G. Lugosi. Estimació de la mitjana: una revisió d'avenços recents. Butlletí de la Societat Catalana de Matemàtiques. 37:61-93, 2022.
• G. Lugosi and S. Mendelson. Mean estimation and regression under heavy-tailed distributions---a survey. Foundations of Computational Mathematics, 19(5), 1145-1190, 2019.
• G. Lugosi and O. Serra. (2012). Endre Szemerédi, Premio Abel 2012. La Gaceta de la RSME 15:537--559. 
  A similar Catalan version for the Butlletí de la Societat Catalana de Matemàtiques.
• G. Lugosi (2010). Desigualtats de concentració. Butlletí de la Societat Catalana de Matemàtiques, 24:85--96.
• G. Lugosi (2006). Prédiction randomisée de suites individuelles. Journal de la Société Française de Statistique, 147:5-37. 
• S. Boucheron, O. Bousquet, and G. Lugosi, (2005), Theory of Classification: a Survey of Recent Advances. ESAIM: Probability and Statistics, 9:323--375.
• S. Boucheron, O. Bousquet, and G. Lugosi, (2004), Concentration inequalities
  in O. Bousquet, U.v. Luxburg, and G. Rätsch (editors), Advanced Lectures in Machine Learning, Springer, pp. 208--240, 2004.
• O. Bousquet, S. Boucheron, and G. Lugosi, (2004), Introduction to statistical learning theory
  in O. Bousquet, U.v. Luxburg, and G. Rätsch (editors), Advanced Lectures in Machine Learning, Springer, pp. 169--207, 2004.
• S. Kulkarni, G. Lugosi, and S. Venkatesh (1998), Learning Pattern Classification---A Survey. 1948--1998 Special Commemorative Issue of IEEE Transactions on Information Theory. , vol.44, 2178--2206.
  Reprinted in S. Verdú, S.W. McLaughlin (editors.), Information Theory: 50 Years of Discovery, IEEE Press, New York, 1999.