Overview

I am currently working in two areas. The first is approximate inference in graphical models where we are developing both algorithms and learning-theory analysis for Bayesian algorithms in machine learning. The second is stochastic planning and its relation to probabilistic inference, reinforcement learning, and control in robotics where we are developing algorithms and systems for large scale problems.

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