The Optimal Transport and Importance Sampling

May 22, 2019       3 mins     Tag: ad-hoc computation
Most statisticians-orientated introduction to optimal transport theory starts with the motivation: we can always obtain a one-D distribution $f(\theta)$ through its inverse cdf transformation
Read More

Affordable Bayesian Neural Networks

May 20, 2019       10 mins     Tag: computation
We wrote a new paper on approximate Bayesian inference in deep network, with a similiar computation cost as point estimation.
Read More

How many X do you know

Sep 26, 2018       3 mins     Tag: modeling causal
One day I was chatting with A and somehow we were talking about there were certain “celebrated” family names, which might be easily associated with the old continents, dogmatic aristocracy, enormous heritage,occasional conspiracy theories, and...
Read More

Hello World and another stroy

Jan 03, 2018       2 mins     Tag: zombies
I am starting to write my blog. And it apparently took more time to become convinced than actually begining, just as many other things. As a technical issue, I am now using Github Page to...
Read More