Aleksander Molak

Results 11 issues of Aleksander Molak

Hi Rachel, first of all thank you for the amazing content!

Hi guys, I have a question regarding the the `cosinesimil` space. How should indexing results using this space interpreted? Does `1` mean the most similar (similarity interpretation) or orthogonal (angular...

Hi! The documentation [here](https://econml.azurewebsites.net/spec/comparison.html) states that `CausalForestDML` assumes linear treatment. Is this because `CausalForestDML` estimates a partially linear model (similar to LinearDML)? Thank you!

Hi, I was recently looking for **Targeted Maximum Likelihood Estimator (TMLE)** implementations in Python. To my best understanding EconML does not implement this estimator. Is that correct? If so, do...

**Describe the bug** When using `distance_matching` estimator with binary treatment encoded as `int` type (`1`s and `0`s rather than `True` and `False`), DoWhy throws the following exception: ```python --------------------------------------------------------------------------- Exception...

enhancement

**Is your feature request related to a problem? Please describe.** As discussed with @amit-sharma and @emrekiciman, we want to add code examples from the book "[Causal Inference and Discovery in...

enhancement

Hi team, As recently demonstrated by [Montagna et al. (2023)](https://arxiv.org/pdf/2310.13387.pdf), score matching algorithms like **SCORE**, **DAS** and **NoGAM** might overperform other algorithms under certain assumption violations. This makes them attractive...

Hi! I'd like to propose to add [**NPVAR algorithm**](https://proceedings.neurips.cc/paper/2020/file/85c9f9efab89cee90a95cb98f15feacd-Paper.pdf) (Gao et al., 2020) to the package. I believe that this would facilitate benchmarking and further research in the field. There...

Hi @rpryzant Thank you for sharing your implementation of CausalBERT! I tried it recently. I created a number of synthetic datasets and I found the results surprising when using the...

Hi Brady, thanks for sharing the code! Is it possible to train RealCause on your own dataset? It seems to me that there's no such option in the current implementation....