Martin Gjorgjevski
PhD Student
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Martin Gjorgjevski
PhD Student
I am Martin Gjorgjevski, a 3rd year PhD student in Gipsa-Lab, Grenoble.
My main interests are (Graph) Machine Learning, Statistical Learning theory and Kernel Methods. In particular, I've been interested in Graph Representation learning, both "old"
traditional methods as well as more novel deep learning approaches.
The objective of my thesis is to understand the advantages and limitations of graph machine learning algorithms in the context of statistical machine learning - that is to provide theoretical guarantees for their performance.
Currently I am working on my thesis and I'm considering Post doc positions - while I'm certainly fond of theoretical questions, I'm open to exploring a more computational and
applied aspects of the field as well.
traditional methods as well as more novel deep learning approaches.
The objective of my thesis is to understand the advantages and limitations of graph machine learning algorithms in the context of statistical machine learning - that is to provide theoretical guarantees for their performance.
Currently I am working on my thesis and I'm considering Post doc positions - while I'm certainly fond of theoretical questions, I'm open to exploring a more computational and
applied aspects of the field as well.