Research Interests and Projects: My interests are in the areas of Machine Learning and Data Mining, Artificial Intelligence, and Efficient Algorithms and my research explores theoretical questions, empirical questions, and applications. Most recently my work has focused on problems in two broad areas: Theory, Algorithms and Applications of Graphical models and Stochastic Planning (aka Reinforcement Learning) and its Relation to Probabilistic Inference.
|Yadi Wei, PhD Student||Working on algorithms and theory for approximate inference in Bayesian models.|
Weizhe Chen, PhD Student
Co advised with Lantao Liu
|Working on machine learning for non-stationary spatial data and its use for informative planning in robotics.|
|Zhennan Wu, PhD Student||Working on planning, reinforcement learning and their connection to probabislitic inference.|
|Palash Chatterjee, MS Student||Working on planning, reinforcement learning and their connection to probabislitic inference.|