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Efficient Learning and Feature Selection in High Dimensional Regression
(MIT Press, 2010)
We present a novel algorithm for efficient learning and feature selection in high-dimensional regression problems. We arrive at this model through a modification of the standard regression model, enabling us to derive a ...
Active Estimation of Object Dynamics Parameters with Tactile Sensors
The estimation of parameters that affect the dynamics of objects—such as viscosity or internal degrees of freedom—is an important step in autonomous and dexterous robotic manipulation of objects. However, accurate and ...
Active sequential learning with tactile feedback
We consider the problem of tactile discrimination, with the goal of estimating an underlying state parameter in a sequential setting. If the data is continuous and high- dimensional, collecting enough representative data ...