Probabilistic Graphical Models and Structured Prediction Project
CS6424/ECE6424 Spring 2016

Project Report

For the class project, you will conduct research with the goal of producing findings worthy of publication at a conference. The project should be done in groups of 1–3 students, and should feature a novel algorithmic contribution to some aspect of learning, inference, prediction, analysis, or application using probabilistic graphical models or structured predictors. You are strongly encouraged to incorporate this project with any other research you are working on, and you are welcome to include collaborators outside the class as long as you are doing a substantial proportion of the research yourself.

You will write a 6–10 page paper on your findings due at the end of the semester, reporting your contribution, background material, evaluation (experiments and/or analysis), and conclusions.

The final paper should have the usual structure of a scientific paper:

Your paper should follow this modified version of the NIPS paper format (the original version is from here). Use the camera-ready option to show your author information, as done in this example file. In a separate file, describe each person's contributions to the project.

The final project report is due 11:59 pm on May 3, 2016. Submit your project report by sending it in an email to

Include the writeup, a brief statement about each team member and external collaborator's contributions to the project, and brief statement about whether you're willing to have your paper posted on the class website.

Grading Criteria

The project will be graded with the understanding that research takes an unpredictable amount of time, and this project is done under the strict time constraints of a class project. Nevertheless, your work should demonstrate

I will grade using the following breakdown as a guideline, and I will make adjustments to ensure you get a fair grade.