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Posterior_Aided_Regularization_for_Likelihood_Free_Inference

Code for reproducing the experiments in the paper submitted to ICML

"Posterior-Aided Regularization for Likelihood-Free Inference"

Dependencies

python: 3.8
pyTorch: 1.7.1
pyknos 0.14.0

How to reproduce performances

The following is the command for the experiments.

python main.py --likelidhoodLearning True --posteriorLearning True --simulation type_your_simulator --thetaDim type_corresponding_input_dimension --xDim type_corresponding_output_dimension --numModes type_corresponding_number_of_modes --simulation_budget_per_round 100 --numRound 30 --device cuda:0

For example, to reproduce the experimental result of SLCP-16, run

python main.py --likelihoodLearning True --posteriorLearning True --simulation SLCP-16 --thetaDim 5 --xDim 50 --numModes 16 --simulation_budget_per_round 100 --numRound 30 --device cuda:0

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