[link]
#### Problem addressed: Gradient estimation for stochastic neurons #### Summary: This paper proposed an unbiased estimator of stochastic units so that one can use gradient based learning. In addition, it also proposed a simple, biased estimator called straight through. #### Novelty: A new approach for estimating gradient for stochastic units. #### Drawbacks: The proposed unbised estimator seems to have large variance, and the biased one seems not performing very well in practice #### Presenter: Yingbo Zhou
Your comment:
