MILZAREK, Andre

Assistant Professor

Education Background

Ph.D. Mathematics, Technical University of Munich, 2016

M.S.  Mathematics, Technical University of Munich, 2013

B.S.  Mathematics, Technical University of Munich, 2010

Research Field
Nonsmooth Optimization, Large-Scale and Stochastic Optimization, Second Order Methods and Theory
Email
andremilzarek@cuhk.edu.cn
Biography

Professor Andre Milzarek is an assistant professor at the School of Data Science, CUHK(SZ). Before that, he was a postdoctoral researcher at the Beijing International Center for Mathematical Research at the Peking University. He received his master's degree with honours and his doctoral degree in Mathematics from the Technical University of Munich in Germany under the supervision of Professor Michael Ulbrich in 2013 and 2016, respectively.

His main research interests cover nonsmooth optimization, large-scale and stochastic optimization, second order methods and theory. He was invited to deliver talks at international conferences such as the AISM conference on Applied Linear Algebra and International Symposium on Mathematical Programming, and has publications on peer-reviewed journals. From 2010 to 2012 he was selected to the Max-Weber program of the State of Bavaria,and in 2017 he received the Boya Postdoctoral Fellowship at Peking University. 

Academic Publication

PEER-REVIEWED JOURNAL PAPERS
1.  Z. Wen, A. Milzarek, M. Ulbrich, and H. Zhang: Adaptive Regularized Self-Consistent Field Iteration with Exact Hessian for Electronic Structure Calculation, SIAM J. Sci.Comput., 35 (2013), pp. A1299-A1324
2.  A. Milzarek and M. Ulbrich: A Semismooth Newton Method with Multi-Dimensional Filter Globalization for `1-Optimization, SIAM J. Optim., 24 (2014), no.1, pp. 298-333
3.  J. Hu, A. Milzarek, Z. Wen, and Y. Yuan: Adaptive Quadratically Regularized Newton Method for Riemannian Optimization, SIAM J. Matrix Anal. & Appl., 39 (2018), pp.1181-1207

PREPRINTS
1. A. Milzarek, X. Xiao, S. Cen, Z. Wen, and M. Ulbrich: A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization, submitted to SIAM J.Optim. (April 2018)
2.  A. Milzarek, X. Xiao, S. Cen, Z. Wen, and M. Ulbrich: On the Local Convergence of a Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization, submitted to SIAM J. Optim. (June 2018)

DISSERTATION
1.  A. Milzarek: Numerical Methods and Second Order Theory for Nonsmooth Problems, Technical University of Munich, January 2016