Conference / workshop talks

Semidefinite progrmming approach to the hyperbolic measure model in data envelopment analysis, co-author: M. Halicka, 15th International Conference on Data Envelopment Analysis, Prague, Czech Rep., June 24-29, 2017.

Semidefinite progrmming approach to the hyperbolic measure model in data envelopment analysis, co-author: M. Halicka, 6th International Symposium and 26th National Conference on Operational Research, Thessaloniki, Greece, June 2017

Enhanced semi-definite relaxation method with application to optimal anisotropy function construction, co-author: D. Sevcovic, 4th International Symposium and 26th National Conference on Operational Research, Chania, Crete, Greece

Conic relaxations and strong duality in quadratic programs, Invited lecture, 18th International Scientific Conference of Mathematical Methods in Economics and Industry, September 8-12, 2014, Smolenice Castle, Slovakia

Robust dynamic stochastic portfolio optimization, EURO-INFORMS 26th European Conference on Operational Research, Roma : Sapienza Universitá di Roma, 2013

Computing optimal designs of experiments for linear parameter subsystems, co-author: R. Harman, Workshop on Scientific Computing, June 15-18, 2011, Decin, Czech. Rep.

Convex optimization methods in optimal experimental design, Workshop on Scientific Computing, June 11-13, 2011, Decin, Czech. Rep.

Computing maximin efficient designs using the methods of semidefinite programming, co-author: L. Filova, CMS 2010, Vienna

Using methods of mathematical programming and multiplicative algorithms for constructing D-optimal designs of experimnets, co-author: R. Harman, APMOD 2008, Bratislava

Analyticity and limiting behavior of weighted central paths in SDP, 22nd European Conference on Operational Research, July 8-11, 2007, Prague, Czech Republic slides

Existence of Weighted Interior Point Paths in Semidefinite Programming, 15th International Scientific Conference of Mathematical Methods in Economics and Industry, June 3-7, 2007, Herlany, Slovakia slides

Courses

Coursera: Neural Networks and Deep Learning (deeplearning.ai)

Coursera: Machine Learning (Stanford)

Coursera: Coding the Matrix: Linear Algebra through Computer Science Apllications (Brown University)

Algorithms for large-scale convex optimization, DTU 2010