Adjointe scientifique HES (postdoc)|
I am a member of the data mining and machine learning team of Mr. Kalousis in the Department of Business Informatics of the University of Applied Sciences-Western Switzerland, Geneva, as adjointe scientifique (postdoc). I graduated from a Master's program in statistics at the University of Economics in Prague in 2001. After gaining over 12 years of work experience as an applied statistician tackling real-life problems (including in the statistical departments of the Czech and the European Central Banks, and EUROCONTROL, the European Organisation for the Safety of Air Navigation), I have returned to academia and in 2018 defended a PhD in machine learning at the Department of Computer Science at the University of Geneva.
During my PhD I focused primarily on structured sparsity and kernel methods. I'm now exploring the areas of generative modelling, life-long learning and Bayesian inference.
I teach data mining and machine learning courses at bachelor and masters level (course material).
CoRR, abs/1911.10885 , 2019.
2018, (PhD Thesis ID: unige:115678).
Continual learning Workshop NeurIPS 2018, 2018.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings, Part II, pp. 177–192, 2018.
Structured nonlinear variable selection Inproceedings
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018, Monterey, California, USA, August 6-10, 2018, pp. 23–32, 2018.
Proceedings of The 9th Asian Conference on Machine Learning, ACML 2017, Seoul, Korea, November 15-17, 2017., pp. 161–176, 2017.
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II, pp. 544–558, 2017.
Lifelong Generative Modeling Journal Article
CoRR, abs/1705.09847 , 2017.
Proceedings of the Time Series Workshop of the 29th Neural Information Processing Systems conference, NIPS-2015, 11th December 2015 2015.
Proceedings of the Demand Forecasting Workshop of the 32nd International Conference on Machine Learning, ICML 2015.