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README.md

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# learning-to-learn-from-data
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Code for paper "Learning to learn from data: using deep adversarial learning to construct optimal statistical procedures". [[link](https://websitelinkhere)]
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## Environment
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We tested the code on
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- julia 0.7
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- Flux X.X
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- Knet X.X
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Other dependencies:
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- TBD
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### Installation
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Install the appropriate versions of Julia/Knet/Flux using the following instructions:
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```
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...to be addedd..
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```
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## 01_pointEstimation_basic
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```
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cd ...
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julia ...
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```
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Please see `01_pointEstimation_basic/...jl` for more options.
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## 02_pointEstimation_illPosed
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```
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cd ...
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julia ...
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```
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Please see `02_pointEstimation_illPosed/...jl` for more options.
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## 03_prediction_binary
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```
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cd ...
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julia ...
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```
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Please see `03_prediction_binary/...jl` for more options.
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## 04_prediction_cluster_GMM
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```
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cd ...
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julia ...
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```
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Please see `04_prediction_cluster_GMM/...jl` for more options.
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## 05_confidence_region_construction
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```
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cd ...
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julia ...
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```
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Please see `05_confidence_region_construction/...jl` for more options.
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## Citation
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If you use our code, please consider cite the following: *citation*.

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