I am an Assistant Professor at the Department of Statistics, University of Warwick and an Associate Editor of Bayesian analysisLink opens in a new window. Prior to this, I spent two years as a postdoc of Peter GrunwaldLink opens in a new window in the Machine Learning group at CWI; and a year as a postdoc of Judith RousseauLink opens in a new window at the Department of Statistics, University of Oxford. I have obtained my PhD at the University of Amsterdam under the supervision of Harry van ZantenLink opens in a new window.
Research: I am broadly interested in analyzing statistical and machine learning methods from a theoretical perspective. In particular, I study asymptotic properties of Bayesian procedures; relational data, such as networks and graphs; and performance guarantees for machine learning algorithms. I specialize in high-dimensional and nonparametric methods.
My work explores limitations of estimation methods and shows how to tune them in order to achieve optimal performance. Topics include point processes, frequentist analysis of Bayesian methods, minimax rates, generalized Bayes and Gibbs posteriors, small ball probabilities, and inference on large graphs.
Email: alice (dot) kirichenko (at) warwick (dot) ac (dot) uk
Personal webpage: www.akirichenko.comLink opens in a new window
Office hours: Tuesdays 11:30 - 12:30 (online) and Wednesdays 15:30 - 16:30 (in person). If you would like an appointment, please email me in advance.
Address: 1.22, Department of Statistics
University of Warwick