I am a postdoctoral fellow at Carnegie Mellon University. I was awarded a PhD from CMU's Machine Learning Department in December 2010. I am interested in machine learning techniques for structured ...

I am a final year Ph.D. student in the Robotics Institute at Carnegie Mellon University, advised by Dr. Maxim Likhachev. My general research interests span Artificial Intelligence (AI), Perception, ...

In this tutorial we will explore tools for analyzing functional brain imaging data, namely fMRI, however these methods can be applied to other types of neuroimaging data with the proper considerations ...

Advantage learning is a form of reinforcement learning similar to Q-learning except that it uses advantages rather than Q-values. For a state x and action u, the advantage for that state-action pair A ...

There will be four homework assignments that will have some combination of written and programming components and five online assignments. Written and online components will involve working through ...

Important note: To simultaneously accommodate in-person and zoom office hours, students should sign up for a 15-min slot beforehand for office hours. The scheduling will be on a first-come-first-serve ...

The object of this project is to gather sensor data like accelerometer and gyroscope readings from smart devices under different conditions. We plan to analyze the collected data to characterize the ...

Collaborative filtering: find a group of users presenting similar behavior and use group's behavior to predict. NMF, nearest neighbors, etc. Content-Based Hybrid Since matrix is extremely sparse, when ...