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Hello. I was toying with this code recently and have found its performance impressive. I was curious about how it might perform on No Limit Texas Hold 'em. Could this code tractably scale from Ledu…
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Very nice work! And I have two questions.
1. I notice that the two distilled biases could be probability or logit. What is used in implementation? Is there a big difference in performance between the…
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I quickly checked the model script baseline.py and found that you used the cls_score as output when doing inference. I am wondering if your published results were generated by this instead of features…
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I was hoping to get a better idea of how to construct the counterfactuals E[Y | X,T] where Y is the outcome, X are features and T is the treatment, from the CATE estimates. I wasn't sure I followed th…
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Hi there! Thanks for your inspiring work and releasing the code. I have a small question regarding the baseline results. I did not modify the code and run it with command `python osr.py --dataset cifa…
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As one can see for the following Item, Senior Theses Items imported from submissions for certificate programs are members of multiple collections, one being the departmental collection, the other bein…
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**TypeScript Version:** 4.1.2
**Search Terms:**
non-null, assertion, automatic, inferring
**Code**
```ts
type EitherOrNull = T & { [K in keyof S]: null } | S & { [K in keyof T]: null }
…
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## Description
Your documentation lists a demo that is using the load_boston dataset to explain how to use the tool [here](https://causalnex.readthedocs.io/en/latest/03_tutorial/sklearn_tutorial.ht…
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## Description of bug / unexpected behavior
trying to set up logging in a config file fails
## Expected behavior
logs written to a file
## How to reproduce the issue
Code for reproduci…
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Would you please give me a relevant paper?
And there is another OLTR project in your repository. Which paper is it related to?
Thank you!