Jason Poulos

causal-ml. Must-read papers and resources related to causal inference and machine (deep) learning

Attention-OCR. Character-Based Handwritten Text Transcription with Attention Networks

drnns-prediction. Deep Recurrent Neural Networks (RNNs) for Time-Series Prediction

MCPanel. Matrix Completion Methods for Causal Panel Data Models

samsi-causalml. Causal Inference Working Group I: Machine Learning Methods for Causal Inference

rnns-causal. Replication code for "RNN-based counterfactual prediction, with an application to homestead policy and public schooling"

multi-tmle. Code and simulated data accompanying the paper "Targeted learning in observational studies with multi-level treatments: An evaluation of antipsychotic drug treatment safety"

homesteads. Replication code for "State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction"

opensecrets-API. R code for interacting with Opensecrets and Sunlight Foundation APIs

patt-c. Replication code for "Estimating population average treatment effects from experiments with noncompliance"

amnesty. Replication code for "Amnesty Policy and Elite Persistence in the Postbellum South"

RGAN. Recurrent GANS for generating synthetic time-series data

ga-lottery. Replication code for "Land Lotteries, Long-term Wealth, and Political Selection"

multi-ltmle. Longitudinal TMLE (LTMLE) with multi-valued treatments

ok-lottery. Code and data for the paper "Gender gaps in wealth and entrepreneurship? Evidence from 1901 Oklahoma land lottery winners"

eICU_Benchmark. Python

NeurIPS2019-traffic4cast. sample code for our traffic4cast NeurIPS 2019 competition

thesis. Essays on the Political Economy of the American Frontier

dpsom. Code associated with arXiv manuscript 'DPSOM: Deep Probabilistic Clustering with Self-Organizing Maps'

Keras-GAN. Keras implementations of Generative Adversarial Networks.

lassovar. Estimation and forecasting of VAR model with the Lasso