Logistics

  • Seminar begins: April 9th, 2017.
  • Seminar time: Monday: 16:00-18:00
  • Seminar location: M101
  • All participants will be expected to give a 90 minute presentation on a topic from machine/statistical learning including a demonstration of an applied example. For an academic assessment (PrÃfungsleistung) a typed report and a submitted copy of your code is required.
  • Detailed plan(coming soon)
  • Potential Topics: Non-negative matrix factorizations, Markov Chain Monte Carlo methods, Bayesian inference, Recommendation systems, Learning to Rank, Hidden Markov Models, Convex optimization (series), Support vector machines and the kernel trick, Generalized Additive models, Independent Component Analysis, Latent Dirichlet Allocation, Optimization techniques (Nesterov momentum/Adam/l-BGFS), Restricted/deep Boltzmann machines,

    • Schedule

    • 9.4.2018 (TBA)
    • 16.4.2018 ()
    • 23.4.2018 ()
    • 30.4.2018 ()
    • 7.5.2018 ()
    • 14.5.2018 ()
    • 28.5.2018 ()
    • 4.6.2018 ()
    • 11.6.2018 ()
    • 18.6.2018 ()
    • 25.6.2018 (Potentially cancelled)
    • 2.7.2018 ()
    • 9.7.2018 ()