1/6 If you are interested in causal inference & machine learning, I am excited to share some of the latest work of the causal artificial intelligence group that will appear @NeurIPSConf this year. We welcome you to stop by and chat with us at the following times… #NeurIPS2021
2/6 Tue 11:30 am (EST) “The Causal-Neural Connection: Expressiveness, Learnability, and Inference”, with Kevin Xia, Kai-Zhan Lee, and Yoshua Bengio. Link: causalai.net/r80.pdf.
3/6 Tue 11:30 am (EST) + Oral Fri 7:40 pm (EST) “Sequential Causal Imitation Learning with Unobserved Confounders”, with @danielkumor & Junzhe Zhang. Link: causalai.net/r76.pdf.
4/6 Tue 11:30 am (EST) (spotlight) “Double Machine Learning Density Estimation for Local Treatment Effects with Instruments”, with @YonghanJung & Jin Tian. Link: causalai.net/r75.pdf.
5/6 Thu 3:30 am (EST) + Oral Tue 3:40 am (EST) “ Causal Identification with Matrix Equations”, with @sanghack. Link: causalai.net/r70.pdf.
6/6 Wed 7:30 pm (EST) “Nested Counterfactual Identification from Arbitrary Surrogate Experiments”, with Juan Correa & @sanghack. Link: causalai.net/r79.pdf.
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