Current PhD students (as main advisor):
I am also an affilate with the Clinical Machine Learning group at CSAIL & IMES, Massachusetts Institute of Technology working with Professor David Sontag.
Counterfactual Regression is a package for treatment effect estimation in Python.
IHDP-100 (train), IHDP-100 (test) are 100 realizations of the IHDP dataset as used in Shalit, J, Sontag, ICML, 2017. Variables in the .npz x, t, yf, ycf, mu0, mu1 are covariates, treatment, factual outcome, counterfactual outcome, and noiseless potential outcomes respectively.
Jobs-Binary (train), Jobs-Binary (test) is the preprocessed Jobs dataset, following the same format as IHDP, as used in Shalit, J, Sontag, ICML, 2017. Variables in the .npz x, t, yf, e are covariates, treatment, factual outcome and indicator for original randomized sample respectively.
News, is a dataset for treatment effect estimation as used in J, Shalit, Sontag, ICML, 2016.
Matching Kernels is a package of graph kernels for MATLAB.
Lovasz-theta Kernel is a package of graph kernels for MATLAB.
DLOREAN is a software for inferring multi-way dynamic networks from node data.
Entity Graphs is a collection of graphs of entity interactions built from data collected by Recorded Future.