I'm a PhD student on the Cambridge-Tübingen Machine Learning PhD program, supervised by Prof Zoubin Ghahramani at the University of Cambridge and by Prof Bernhard Schölkopf at the Max-Planck-Institute in Tübingen. I have a broad interest in machine learning, having worked on kernel methods, discrete graphical models, differential privacy, program synthesis, and graph neural networks. Up to date publication information can be found on my personal website and Google scholar profile:
Before starting the PhD I obtained my Master of Mathematics and Computer Science degree from the University of Oxford, having worked with Prof Yee Whye Teh on new applications of the Mondrian process as my final thesis project. During the PhD I've spent one academic year at the Max-Planck-Institute in Tübingen, working with Ilya Tolstikhin and Prof Bernhard Schölkopf on developing a new framework for applying kernel methods in differential privacy.
Balog, M., Tolstikhin, I., Schölkopf, B.
Differentially Private Database Release via Kernel Mean Embeddings
Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 423-431, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)
Balog, M., Tripuraneni, N., Ghahramani, Z., Weller, A.
Lost Relatives of the Gumbel Trick
Proceedings of the 34th International Conference on Machine Learning, 70, pages: 371-379, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, International Conference on Machine Learning (ICML), August 2017 (conference)
Balog, M., Gaunt, A. L., Brockschmidt, M., Nowozin, S., Tarlow, D.
DeepCoder: Learning to Write Programs
Proceedings International Conference on Learning Representations 2017, OpenReviews.net, International Conference on Learning Representations, April 2017 (conference)
Balog, M., Lakshminarayanan, B., Ghahramani, Z., Roy, D. M., Teh, Y. W.
The Mondrian Kernel
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence (UAI), (Editors: Ihler, Alexander T. and Janzing, Dominik), June 2016 (conference)
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