Summary

In 2022, I defended my thesis at EURECOM in the European Training Network WindMill (ETN) project, where I served as a doctoral student supervised by Maurizio Filippone. I also had the opportunity to be a visiting student at the Machine Learning Genoa Center (hosted by Lorenzo Rosasco) and at the Center for Research in Economics and Statistics, collaborating with Alexandre Tsybakov.

My current research interests include kernel methods, scalability of algorithms, transfer learning and optimization.

Education:

Sorbonne University - Computer science, telecommunications and electronics - Doctor - 01/01/2020 - 12/16/2022

Ivane Javakhishvili Tbilisi State University - Economics and Business - Bachelor - 09/01/2010 - 07/31/2014

Ivane Javakhishvili Tbilisi State University - Exact and Natural Sciences - Master - 09/01/2014 - 07/14/2016

Publications

• Davit Gogolashvili, Arya Akhavan and Alexandre B. Tsybakov. Estimating the Minimizer and the Minimum Value of a Regression Function., Journal of Machine Learning Research, Volume 25, Pages 1-37, MIT Press, 2024.
• Davit Gogolashvili, Bogdan Kozyrskiy, Maurizio Filippone. Locally Smoothed Gaussian Process Regressionion., Procedia Computer Science, Volume 207, Pages 2717-2726, Elsevier, 2022.
• Davit Gogolashvili, Grigol Sokhadze, Aleksandre Tkeshelashvili, On A Representation of the Solutions of a Second-Order Differential Equations With Random Coefficients, Reports of Enlarged Session of the Seminar of I. Vekua Institute of Applied Mathematics, Volume 29, Pages 48-51, TSU press, 2015.