About Me:

Hello, my name is Vassil Chatalbashev, and I'm a Ph.D. student in Computer Science at Stanford University.

My email:

Publications:

• Learning a Meta-Level Prior for Feature Relevance from Multiple Related Tasks.   Su-in Lee, Vassil Chatalbashev, Daphne Koller. Twenty Fourth International Conference on Machine Learning (ICML07), Corvallis, OR. June 2007.
• Learning Structured Prediction Models: A Large Margin Approach.   Ben Taskar, Vassil Chatalbashev, Daphne Koller, Carlos Guestrin. Twenty Second International Conference on Machine Learning (ICML05), Bonn, Germany, August 2005.
• Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data.   Drago Anguelov, Ben Taskar, Vassil Chatalbashev, Daphne Koller, D. Gupta, Geremy Heitz, Andrew Ng. International Conference on Computer Vision and Pattern Recognition (CVPR05), San Diego, CA, June 2005.
  See 3D Segmentation Project Page
• Inverse Convex Optimization.  Vassil Chatalbashev. Master's Thesis. Stanford University, August 2004. Winner of the Christopher Stephenson Memorial Award for Best Masters Thesis.
• Learning Associative Markov Networks.  Ben Taskar, Vassil Chatalbashev, Daphne Koller. Twenty First International Conference on Machine Learning (ICML04), Banff, Canada, July 2004.

• CS228: Probabilistic Models in AI,   Winter 2007. Prof. Daphne Koller.
• CS229: Machine Learning,   Winter 2004. Prof. Andrew Ng.
• CS221: Artificial Intelligence: Principles & Techniques,   Autumn 2003. Prof. Daphne Koller.