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Hi team,
First of all, thanks to the team for working on building such a good package for us to use.
I follow the example _Counterfactual with Reinforcement Learning (CFRL) on Adult Census_ to …
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Do you have any method for seeing which feature has the most importance/changeability power in a counterfactual? (Which features do more to move the counterfactual towards the decision boundary)
…
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## ざっくり言うと
- 反実仮想的ランク学習の一般的な理論的枠組みを示した
- 表示バイアスも考慮した上で目的関数の不偏推定量を示し，その最適化として定式化
- SVMの場合の理論及び，DNNの場合のアプローチを紹介
- ベンチマークデータセットで提案手法の有効性，頑健性を示した
#### キーワード
- IR
- Learn-to-rank
- counterfactual…
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Hi everyone,
I am still quite new to machine learning coding. I managed to do a few things with DICE, although I was wondering how do you manage time series data for a general model?
The idea is…
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The link to the topic "Learning Representations for Counterfactual Inference" in the README.md file is currently broken. The original link no longer works.
I suggest updating the link in the READ…
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First of all, thank you so much for creating this wonderful package.
I am wondering if we can extend counterfactuals using DICE to survival models, especially those created using sksurv package (from…
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https://github.com/interpretml/DiCE/blob/e9e7147fce95b09de2f38d21cf59e0031dee28ae/dice_ml/data_interfaces/private_data_interface.py#L336
When categorical columns contain numerical levels (e.g. yes …
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I am starting to get more familiar with DICE. It is a fantastic library thanks a lot guys.
I wanted to ask what it is your roadmap for improvements (apart from the things mentioned in the intro doc…
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The counterfactual instances library is working okay when I have only two features in my machine learning but as soon as I try to use it for 4 or more features I keep getting this error
`ValueError:…
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Dear Professor Andrew Keith,
Recently, I’m learning how to use CFR on resource allocation. Your paper " Counterfactual regret minimization for integrated cyber and air defense resource allocation" gi…