Causality group

12 Fevrier 2018

https://arxiv.org/pdf/1310.1533.pdf

CAM: CAUSAL ADDITIVE MODELS, HIGH-DIMENSIONAL ORDER SEARCH AND PENALIZED REGRESSION

Presented by Diviyan Kalainathan, in either Room 2014 or 2011, at 4.pm.

For inspiration, this is the list of our UC Berkeley colleagues: https://docs.google.com/document/d/1kWGCR-LoFigcBxZRuzxyYpMTXSiBOqOu6ttaoETAc8g/edit

This reading group should start the second week of January (If there is enough people) and here is a subset of the list of possible papers :

- Causal Effect Inference with Deep Latent-Variable Models : https://papers.nips.cc/paper/7223-causal-effect-inference-with-deep-latent-variable-models.pdf

- Experimental Design for Learning Causal Graphs with Latent Variables : https://papers.nips.cc/paper/7277-experimental-design-for-learning-causal-graphs-with-latent-variables.pdf

- Learning Causal Structures Using Regression Invariance : https://arxiv.org/pdf/1705.09644.pdf

- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests : https://arxiv.org/pdf/1510.04342.pdf

- Invariant Causal Prediction for Nonlinear Models : https://arxiv.org/pdf/1706.08576.pdf