Experiments

Target Distribution:

• Target Distributions
  • LNPDF
    • LNPDF.can_sample()
    • LNPDF.expensive_metrics()
    • LNPDF.get_num_dimensions()
    • LNPDF.log_density()
    • LNPDF.log_density_and_grad()
    • LNPDF.safe_for_tf_graph
    • LNPDF.sample()
    • LNPDF.use_log_density_and_grad
  • GMM_LNPDF
    • GMM_LNPDF.can_sample()
    • GMM_LNPDF.expensive_metrics()
    • GMM_LNPDF.get_num_dimensions()
    • GMM_LNPDF.log_density()
    • GMM_LNPDF.marginal_log_density()
    • GMM_LNPDF.sample()
  • StudentTMixture_LNPDF
    • StudentTMixture_LNPDF.can_sample()
    • StudentTMixture_LNPDF.expensive_metrics()
    • StudentTMixture_LNPDF.get_num_dimensions()
    • StudentTMixture_LNPDF.log_density()
    • StudentTMixture_LNPDF.marginal_log_density()
    • StudentTMixture_LNPDF.sample()
  • LogisticRegression
    • LogisticRegression.get_num_dimensions()
    • LogisticRegression.log_density()
    • LogisticRegression.log_likelihood()
    • LogisticRegression.prior_std
  • LogisticRegression_minibatch
    • LogisticRegression_minibatch.expensive_metrics()
    • LogisticRegression_minibatch.likelihood_batch()
    • LogisticRegression_minibatch.log_density()
    • LogisticRegression_minibatch.log_density_fb()
    • LogisticRegression_minibatch.shuffle_data()
  • PlanarRobot
    • PlanarRobot.expensive_metrics()
    • PlanarRobot.forward_kinematics()
    • PlanarRobot.get_num_dimensions()
    • PlanarRobot.likelihood()
    • PlanarRobot.log_density()
  • BNN_LNPDF
    • BNN_LNPDF.average_loss()
    • BNN_LNPDF.avg_bayesian_inference_loss()
    • BNN_LNPDF.avg_bayesian_inference_test_loss()
    • BNN_LNPDF.bayesian_inference_test_loss()
    • BNN_LNPDF.create_model()
    • BNN_LNPDF.forward_from_weight_vector()
    • BNN_LNPDF.get_num_dimensions()
    • BNN_LNPDF.log_density()
    • BNN_LNPDF.log_density_and_grad()
    • BNN_LNPDF.log_likelihood()
    • BNN_LNPDF.log_likelihood_and_grad()
    • BNN_LNPDF.log_likelihood_old()
    • BNN_LNPDF.log_prior()
    • BNN_LNPDF.log_prior_and_grad()
    • BNN_LNPDF.prepare_data()
    • BNN_LNPDF.prior_std
  • Talos
    • Talos.create_chain()
    • Talos.expensive_metrics()
    • Talos.get_com_feet_diff()
    • Talos.get_com_reward()
    • Talos.get_joint_angles()
    • Talos.get_joint_prior()
    • Talos.get_left_foot()
    • Talos.get_left_foot_reward()
    • Talos.get_left_gripper()
    • Talos.get_left_gripper_reward()
    • Talos.get_num_dimensions()
    • Talos.get_right_foot()
    • Talos.get_right_foot_reward()
    • Talos.log_density()
    • Talos.log_density_and_grad()
    • Talos.plot()

Evaluation:

• Evaluation
  • MMD
    • MMD.compute_MMD()