Topic outline

  • Project work

    The first part of the GP course is over. Completing the 3 mandatory assignments gives 3 ECTS points.

    You can get 2 extra ECTS points by completing an optional small project:
    • The work should be done in groups of 1-3 people
    • Hand-in a detailed project report (one per group) no later than 8th of May
    • Give a 10-20min presentation of your work on a project session on 17th of May at 10am in T4 (note new time)

    The project work is supported by four sessions:
    • There is a project kick-off session on tuesday 5.3. on 9:30 - 10:30 in T4
    • There are support sessions on 23rd of April (10-12 in T4)
    • There is a final project work seminar on 10th of May with group presentation

    The project work topics are:
    1. Additive Gaussian processes
    2. Bayesian optimization with Gaussian Processes
    3. Bayesian quadrature
    4. Relationship between Neural networks and GPs
    5. Multioutput Gaussian processes & Kronecker structures
    6. Gaussian processes for big data
    7. Gaussian processes with monotonicity
    8. Gaussian process latent variable model (GPLVM)
    9. Convolutional Gaussian processes
    10. Deep Gaussian processes
    11. Own topic (contact Arno/Markus)

    The project work consist of one of following tasks
    1. Analyze your favourite dataset with Gaussian process models of you topic
    2. Literature survey/comparison of more advanced Gaussian process models/methods of your topic
    3. Implementation of more advanced Gaussian process models of your topic

    In the first task you should compare the GP model(s) against other baseline methods. Study the inference of the GP model, and study the predictive posteriors of your GP model in your dataset. In the second task read about your topic from scientific literature. Discuss the topic in depth. In the third task choose your favourite programming language and/or library, and implement an advanced GP model of your topic. Describe your implementation and test it.  

    Please form a group, pick 1 topic and 1 task:
    • Come to the kick-off session on Tuesday 5.3. at 9:30-10:30 in T4. You can form groups at the sessions, and discuss the project.
    • Please report your topic in the box below.

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