Log-likelihood Estimation on Fashion-MNIST dynamically binarized (test)
-239.11Log-Likelihood Bound (100-point)DisARM
Evaluation Results
| Method | Links | |
|---|---|---|
| DisARMK=2, Training Steps=1M, Likelihood=Bernoulli2022.02 | -239.11 | |
| RELAXEvaluations per step=3, Training Steps=1M, Likelihood=Bernoulli2022.02 | -239.03 | |
| Double CVK=2, Training Steps=1M, Likelihood=Bernoulli2022.02 | -239 | |
| RODEOK=2, Training Steps=1M, Likelihood=Bernoulli2022.02 | -238.97 | |
| Double CVK=3, Training Steps=1M, Likelihood=Bernoulli2022.02 | -238.54 | |
| ARMSK=3, Training Steps=1M, Likelihood=Bernoulli2022.02 | -238.19 | |
| RODEOK=3, Training Steps=1M, Likelihood=Bernoulli2022.02 | -237.97 |