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adaptive-confidence-intervals

Confidence Intervals for Policy Evaluation in Adaptive Experiments

alp301-spr21-project1

alp301-spr21-project2

alp301-spr21-project3

alp301-spr21-project4

alp301-spr21-project5

alp301-spr21-project6

bayestree

bemb

bm_model

Models for student-item response data leveraging latent factorization and stochastic variational inference.

career-code

Code for the paper "Learning Transferrable Representations of Career Trajectories for Economic Prediction"

causaltree

Working repository for Causal Tree and extensions

causaltreebugfix

Fix the naming bug in causal tree package

contextual_bandits_evaluation

Offline Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits

covidadmeta

Replication code for https://doi.org/10.1073/pnas.2208110120

ds-wgan

Design of Simulations using WGAN

experimentdata

ghana-recovr-rct

Analysis of experiment in IPA Ghana RECOVR survey implemented spring 2020

infodemic-replication

latent-factor-models

R functions for fitting latent factor models with internal computation in C/C++

neural_factorization_machine

TenforFlow Implementation of Neural Factorization Machine

news_crowdsourcer

policylearning

py-earth

A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

pytorch-fm

Factorization Machine models in PyTorch

torch-choice

Choice modeling with PyTorch: logit model and nested logit model