esbraun

bcauss

Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"

covid19-sounds-kdd20

dragonnet-pytorch

pytorch implementation of dragonnet

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 in

flexible-losses-for-binary-classification-with-GBDT

Gradient statistics for implementing a generalized hybrid loss function in gradient-boosted decision trees (GBDT) for binary classification tasks.

GBRT-for-TSF

gluonts

Probabilistic time series modeling in Python

LightGBMLSS

An extension of LightGBM to probabilistic forecasting

local-causal-discovery

Code for the paper "Local Causal Discovery for Estimating Causal Effects".

pytorch-transformer-ts

Repository of Transformer based PyTorch Time Series Models

esbraun/bcauss

Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"

esbraun/covid19-sounds-kdd20

esbraun/dragonnet-pytorch

pytorch implementation of dragonnet

esbraun/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 in

esbraun/flexible-losses-for-binary-classification-with-GBDT

Gradient statistics for implementing a generalized hybrid loss function in gradient-boosted decision trees (GBDT) for binary classification tasks.

esbraun/GBRT-for-TSF

esbraun/gluonts

Probabilistic time series modeling in Python

esbraun/LightGBMLSS

An extension of LightGBM to probabilistic forecasting

esbraun/local-causal-discovery

Code for the paper "Local Causal Discovery for Estimating Causal Effects".

esbraun/pytorch-transformer-ts

Repository of Transformer based PyTorch Time Series Models

esbraun/ReliableDosageCombi

Implementation of "Reliable Off-Policy Learning for Dosage Combinations"

esbraun/RieszLearning

Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests"