We are Tilburg University

We are Tilburg University

Bio

Etienne de Klerk held assistant professorships at the TU Delft from 1998 to 2003, and from 2003 to 2005 an associate professorship at the University of Waterloo, Canada. In 2004 he was appointed at Tilburg University, first as associate professor, and then as full professor (2009). From August 2012 to August 2013, he was also appointed as full professor at the Nanyang Technological University in Singapore. As of September 1st, 2015, he also holds a part-time professorship at the TU Delft. He is associate editor of the SIAM Journal on Optimization, and has served two terms as associate editor of the INFORMS Journal Operations Research. He is co-recipient of the Canadian Foundation for Innovation’s New Opportunities Fund award, and a recipient of the VIDI grant of the NWO. He received the 2017 Best Paper Prize from Optimization Letters for joint work on the complexity of gradient descent methods.

Courses

Recent publications

  1. Convergence analysis of a Lasserre hierarchy of upper bounds for poly…

    de Klerk, E., & Laurent, M. (2020). Convergence analysis of a Lasserre hierarchy of upper bounds for polynomial minimization on the sphere. Mathematical Programming .
  2. Solving sparse polynomial optimization problems with chordal structur…

    de Klerk, E., Marandi, A., & Dahl, J. (2020). Solving sparse polynomial optimization problems with chordal structure using the sparse bounded-degree sum-of-squares hierarchy. Discrete Applied Mathematics, 275, 95-110.
  3. Worst-case convergence analysis of inexact gradient and Newton method…

    de Klerk, E., Glineur, F., & Taylor, A. (Accepted/In press). Worst-case convergence analysis of inexact gradient and Newton methods through semidefinite programming performance estimation. SIAM Journal on Optimization.
  4. Worst-case examples for Lasserre's measure-based hierarchy for polyno…

    de Klerk, E., & Laurent, M. (2020). Worst-case examples for Lasserre's measure-based hierarchy for polynomial optimization on the hypercube. Mathematics of Operations Research, 45(1), 86-98.
  5. Polynomial norms

    Ahmadi, A., de Klerk, E., & Hall, G. (2019). Polynomial norms. SIAM Journal on Optimization, 29(1), 399–422.

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