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Faculty of Mathematics

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Mark Rowland

Originally from

Chester, UK.

Academic background

I studied for the BA and MMath at Cambridge, graduating in 2013 having focused mainly on probability and algebra in my final year; I wrote my Part III essay on an application of representation theory to random walks on groups. I then worked in industry as an actuarial consultant for a year before deciding to study for a PhD.

Areas of interest

My main mathematical interests are in probability and its applications. In my spare time, I enjoy playing acoustic & electric guitar, and long-distance running.


  • Hernández-Lobato, J.M., Li, Y., Rowland, M., Hernández-Lobato, D., Bui, T. and Turner, R.E. Black-box Alpha Divergence Minimization. International Conference on Machine Learning (ICML), 2016.
  • Weller, A., Rowland, M. and Sontag, D. Tightness of LP Relaxations for Almost Balanced Models. Artificial Intelligence and Statistics (AISTATS), 2016.
  • Rowland, M., Pacchiano, A and Weller, A. Conditions Beyond Treewidth for Tightness of Higher-order LP Relaxations. To appear in Artificial Intelligence and Statistics (AISTATS), 2017.

Further information

Personal website


mr504 [at]