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Julian Aronowitz's Projects

econml icon econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

frankenfit icon frankenfit

A Python library for creating, fitting, and applying predictive data modeling pipelines.

glove icon glove

GloVe model for distributed word representation

jaronowitz.github.io icon jaronowitz.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

poisson_glmm icon poisson_glmm

Testing if misspecified model (assuming independent data) recovers true parameter vector for a poisson_glmm

pymc-examples icon pymc-examples

Examples of PyMC3 models, including a library of Jupyter notebooks.

simanneal icon simanneal

Python module for Simulated Annealing optimization

sparse_recovery icon sparse_recovery

noiseless/nonnegative sparse recovery and feature retrieval via compressed sensing

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