Research output per year
Research output per year
My research sits at the intersection of machine learning, discrete probability, and theoretical computer science. I am particularly interested in designing algorithms for network analysis that are simple, fast in practice, and that can be rigorously analysed.
I'm willing to supervise students on a variety of topics related to network analysis and the theoretical foundations of machine learning. These include, for example, the design and analysis of algorithms for unsupervised and supervised learning on graphs.
Research output: Contribution to conference › Poster
Research output: Contribution to conference › Abstract › peer-review
Research output: Working paper / Preprint › Preprint
Research output: Contribution to journal › Conference article › peer-review
Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding