# Automated Predictive Evaluation of Causal Inference Competitions

May 30, 2019
We can evaluate causal inference methods through simulations and based on predictive performance of ATE, but is it enough?

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Bayesian Statistics, Machine Learning

We can evaluate causal inference methods through simulations and based on predictive performance of ATE, but is it enough?

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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

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We wrote a new paper on approximate Bayesian inference in deep network, with a similiar computation cost as point estimation.

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A new book by the interesting candidate, Mayor Pete Buttigieg.

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tl;nr.
No.

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I have recenetly been reading a textbook on decoupling. Decoupling literally means “from dependence to independence”. I initially though the book can help me understand some properties of self-normalized importance sampling, but it turns out...

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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...

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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...

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