51 citations · 136 across the 19 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.LG2018★ 31 cited
Orthogonal Random Forest for Causal Inference
Miruna Oprescu, Vasilis Syrgkanis, Zhiwei Steven Wu
We propose the orthogonal random forest, an algorithm that combines Neyman-orthogonality to reduce sensitivity with respect to estimation error of nuisance parameters with generali…
cs.DC2018★ 4 cited
Flexible and Scalable Deep Learning with MMLSpark
Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala +11
In this work we detail a novel open source library, called MMLSpark, that combines the flexible deep learning library Cognitive Toolkit, with the distributed computing framework Ap…