Practice - Approximate Inference
Practice Questions
Test your understanding with targeted questions
What is approximate inference?
💡 Hint: Think about scenarios where calculations become too complex.
Name one sampling method discussed in this section.
💡 Hint: Recall the sampling method that iteratively samples variables.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary benefit of using approximate inference?
💡 Hint: Think about when exact methods fail.
True or False: Variational Inference does not require optimization.
💡 Hint: Consider how this method approaches approximation.
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Challenge Problems
Push your limits with advanced challenges
You have a dataset with many categorical variables and want to apply Gibbs Sampling. How would you set up your sampling procedure?
💡 Hint: Focus on conditioning on the others while updating each variable.
Assuming you implemented Metropolis-Hastings but noticed poor convergence. What adjustments could you consider to improve sample quality?
💡 Hint: Think about refining your proposal strategy to better explore the space.
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Reference links
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