Prof. Martin Wainwright

Research interests of Professor Wainwright include high-dimensional statistics, statistical machine learning, information theory, and optimization theory. One focus is algorithms and Markov random fields, a class of probabilistic model based on graphs used to capture dependencies in multivariate data: for example, image models, data compression, and computational biology. He also studies the effect of decentralization and communication constraints in statistical inference problems. A final area of interest is methodology and theory for high-dimensional inference problems.