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Found 4 papers, 2 papers with code
Treatment effect estimation with Multilevel Regression and Poststratification
Using MRP-style estimators, treatment effect estimates for areas as small as 1. 3$\%$ of the population have lower bias and variance than standard causal inference methods, even in the presence of treatment effect heterogeneity.
Causal Inference
Methodology
Learning a Group-Aware Policy for Robot Navigation
Human-aware robot navigation promises a range of applications in which mobile robots bring versatile assistance to people in common human environments.
Improving multilevel regression and poststratification with structured priors
A central theme in the field of survey statistics is estimating population-level quantities through data coming from potentially non-representative samples of the population.
Methodology
A Novel Co-design Peta-scale Heterogeneous Cluster for Deep Learning Training
Therefore, MiMatrix intrinsically solves the bandwidth bottleneck of central node in parameter server framework that is widely used in distributed DL tasks.
