Laurent El Ghaoui

Professor, EECS and IEOR Departments Berkeley Artificial Intelligence Research UC Berkeley 421 Sutardja Dai Hall Office hours, Spring 2021: W 10-11am.

Research interests

• New computational models and algorithms for deep learning.

• Robust optimization.

• Machine learning and statistics, with emphasis on sparsity issues.

Selected recent publications

• Laurent El Ghaoui, Fangda Gu, Bertrand Travacca, Armin Askari. Implicit Deep Learning. Posted on Arxiv, August 2019.

• Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui. Naive Feature Selection: Sparsity in Naive Bayes. ArXiv preprint, July 2019.

• Calafiore, G.C., El Ghaoui, L., Preziosi, A. and Russo, L., 2017. Topic analysis in news via sparse learning: a case study on the 2016 US Presidential Elections. IFAC-PapersOnLine, 50(1), pp.13593-13598.

• Book: G.C. Calafiore and L. El Ghaoui. Optimization Models. Cambridge University Press. Oct. 2014.

Contact

• Internet: elghaoui at berkeley dot edu.

• Address: 421 Sutardja Dai Hall, UC Berkeley. Directions to my office.

• Office/Fax: No telephone line is available.

• Administrative assistant: Gwen Lindsey. Please contact Mrs. Lindsey for administrative research questions only.