My name is Phillip Odom and I am a PhD Student at Indiana University. I transferred to Indiana University in 2013 after spending one year in the masters program at Wake Forest University in Winston-Salem, NC. My advisor is Prof. Sriraam Natarajan and I belong to his lab (IUSTARAI).
My primary research interest is in machine learning and focuses on learning in the presence of external background knowledge. In many problems such as medical diagnosis there exists human experts with a high degree of knowledge. This knowledge is entirely ignored by many data-intensive learning methods. However, data can be noisy or imperfect and expert knowledge is vital to learning robust models with varying degrees of data quality. This knowledge could be specified as expert advice or could be derived from related domains. The main focus of my research is on learning relational models. However, learning from background knowledge is vital to many different kinds of problems including:
- Imitation Learning (IL)
- Reinforcement Learning (RL)
- Inverse Reinforcement Learning (IRL)
- Transfer Learning (TL)
- Statistical Relational Learning (SRL)