Probabilistic Machine Learning

Pre-reading responses (5% × 4)

Format. Half a page pdf each. During the term, you will be asked to talk through at least one of your responses, either during a lecture or in a brief individual viva after the lecture. LLM usage is permitted.

• Session 2 pre-reading questions. Submit your answers on Moodle by 19 Oct 4pm.
  Based on Goodfellow et al. (2014).
• Session 4 pre-reading questions. Submit your answers on Moodle by 2 Nov 4pm.
  Based on Kingma and Welling (2014) and van der Maaten and Hinton (2008).
• Session 6 pre-reading: TBC
• Session 8 pre-reading: TBC

Exercise 1 (15%) and Exercise 2 (15%)

Format. Around 800 words each. There will be vivas, and you will be chosen at random for either exercise 1 or exercise 2. LLM usage is permitted.

• Exercise 1 questions. Submit your answers on Moodle by 4pm Nov 13.
  Based on Nie et al. (2025).
• Exercise 2: TBC

Proposal (5%) and Written Report (45%)

TBC