/CS532hw

Homework files for Probabilistic Programming class

Primary LanguageJupyter Notebook

CS532 Homework Repository

  • hw1: Ancestral, Gibbs, Rejection sampling with discrete distributions
  • hw2: FOPPL evaluate function in Pytorch on Gaussian Unknown Mean, Bayesian Regression, Hidden Markov, Bayesian Neural Net
  • hw3: Importance Sampling, Metropolis in Gibbs, Hamiltonian Monte Carlo in FOPPL
  • hw4: Black Box Variational Inference in FOPPL
  • hw5: HOPPL 'evaluate' function
  • hw6: Sequential Monte Carlo in FOPPL on Gaussian Marsaglia, Hidden Markov