Apr 5, 2018 The University’s course surveys are open. Apr 2, 2018 Slides Learning for HMMs & Course Recap are online. Mar 30, 2018 The answers to Tutorial 8 are online. Mar 29, 2018 Uploaded slides on Variational Inference and Learning. Mar 26, 2018 Uploaded slides on Sampling and Monte Carlo Integration. Mar 23, 2018 The answers to Tutorial 7 are online. Mar 22, 2018 Uploaded slides on Intractable Likelihood Functions and on Estimating Unnormalised Models by Score Matching. Mar 22, 2018 Added the book “Independent Component Analysis” to the further resources and clarified that in our definition of sub/super-Gaussian pdfs, we assume that the variables have zero mean (slides 22 and 23 of Factor Analysis and Independent Component Analysis). Mar 21, 2018 Tutorial 8 is ready. Mar 20, 2018 Fixed typo/bug on slide 11 of Factor Analysis and Independent Component Analysis regarding orthonormal matrices. It should have been “square” instead of “symmetric”. This is now corrected. Mar 19, 2018 Corrected error on slides 43 and 44 of Basics of Model-Based Learning. We should have taken the transformation $\eta = \log(\theta/(1-\theta)$ that maps $[0,1]$ to $\mathbb{R}$, and not the transformation $\log(\theta)$: $\log(\theta)$ maps $[0,1]$ to values between $-\infty$ and 0, which would still result in a constrained optimisation problem. Also corrected the missing square root in the equation for the partition function of a Gaussian (slide 27). Mar 17, 2018 The answers to Tutorial 6 are online. Mar 15, 2018 Uploaded slides on Factor Analysis and Independent Component Analysis. Mar 14, 2018 Tutorial 7 is ready. Mar 12, 2018 Uploaded slides on Basics of Model-Based Learning. Mar 9, 2018 Fixed broken links to Koller’s videos. Mar 9, 2018 The answers to Tutorial 5 are online. Tutorial 6 is ready. Mar 8, 2018 Fixed some innocent typos in the slides on Exact Inference for Hidden Markov Models. Mar 2, 2018 Uploaded slides on Exact Inference for Hidden Markov Models. Tutorial 5 is ready. Feb 19, 2018 The answers to Tutorial 3 are online. Feb 15, 2018 The assignment has been released and is available here. It is due Tuesday March 20 2018 at 16:00 (see the assignment file for instructions). Feb 14, 2018 In tutorial 2, the solution to Exercise 4 on the restricted Boltzmann machine, part (c) was misleading at the very end of the document, around Eq (S.21). Please find here an amended version of the solutions. Feb 14, 2018 Uploaded slides on Exact Inference and updated the corresponding list of required and optional study material. Feb 12, 2018 Fixed some typos in question 3 of Tutorial 3: In part (a), Equation (4) should read $a(u,z)b(v,z)$. In part (d) the factor graph should have a factor node labelled as $\phi(y_1, y_2)$. Feb 12, 2018 Updated slides on Factor Graphs. Feb 9, 2018 The answers to Tutorial 2 are online. Tutorial 3 is ready. Feb 5, 2018 Updated slides on the Expressive Power of Graphical Models. Feb 2, 2018 The answers to Tutorial 1 are online. Tutorial 2 is ready. Jan 28, 2018 The tutorials start on Monday. The answers to Tutorial 1 will be made available on Friday evening. Jan 28, 2018 Corrected error on slide 44 in the Directed Graphical Models slides. Updated slides on Undirected Graphical Models. Jan 25, 2018 List with required and optional material for week 3 and 4 added. Jan 22, 2018 Tutorial 1 finalised and ready for you. Jan 18, 2018 Slides Basic Assumptions for Efficient Model Representation and Directed Graphical Models updated. Jan 11, 2018 Course homepage updated.