Edwin V. Bonilla
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I am a (post-doctoral) researcher at NICTA and an adjunct research fellow at the Australian National University.

My research focuses on the development of probabilistic models for the construction of systems that can learn from their past experience and for the analysis of complex (and possibly very high dimensional) structured data. Therefore, my research lies at the intersection of machine learning, statistics, computer science and artificial intelligence.

In particular, I am interested in graphical models; Bayesian statistics; transfer learning; Gaussian processes; learning from structured data; reinforcement learning; optimization; and applications including topic modelling, information retrieval, activity recognition, adaptive optimizing compilation, micro-architectural design and computer vision.


flag Gaussian Processes
as author at  Machine Learning Summer School (MLSS), Canberra 2010,