CausalML

Pinned Repositories

bcrl
Representation Learning for OPE
Language:Python8 1 00
CDTE
Robust and Agnostic Learning of Conditional Distributional Treatment Effects
Language:Python8 0 00
continuous-policy-learning
Language:Jupyter Notebook10 2 44
DeepGMM
Language:Python32 5 09
DoubleReinforcementLearningMDP
Language:Python10 2 04
interventions-disparate-impact-responders
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
Language:Jupyter Notebook111
LocalizedDebiasedMachineLearning
Language:R7 2 03
MultipleLoggers
Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"
Language:Python15 1 00
StochOptForest
Replication Code for Paper "Stochastic Optimization Forests".
Language:HTML18 2 02
xauc
xauc https://arxiv.org/abs/1902.05826
Language:Jupyter Notebook72

CausalML's Repositories

CausalML/DeepGMM
Language:Python32 5 09
CausalML/StochOptForest
Replication Code for Paper "Stochastic Optimization Forests".
Language:HTML18 2 02
CausalML/MultipleLoggers
Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"
Language:Python15 1 00
CausalML/interventions-disparate-impact-responders
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
Language:Jupyter Notebook111
CausalML/continuous-policy-learning
Language:Jupyter Notebook10 2 44
CausalML/bcrl
Representation Learning for OPE
Language:Python8 1 00
CausalML/CDTE
Robust and Agnostic Learning of Conditional Distributional Treatment Effects
Language:Python8 0 00
CausalML/doubly-robust-dropel
Off-Policy Evaluation and Learning that is both Doubly Robust and Distributionally Robust.
Language:Jupyter Notebook7 0 03
CausalML/LocalizedDebiasedMachineLearning
Language:R7 2 03
CausalML/xauc
xauc https://arxiv.org/abs/1902.05826
Language:Jupyter Notebook72
CausalML/BLearner
Doubly-Valid/Doubly-Sharp Bounds for CATEs
Language:Python4 1 10
CausalML/confounding-robust-policy-improvement
Language:Python4 2 01
CausalML/FairnessWithUnobservedProtectedClass
Replication code for "Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination"
Language:Jupyter Notebook42
CausalML/DTR-Bandit
Language:Jupyter Notebook3 1 0
CausalML/ESPRM
Code for Efficient Policy Learning from Surrogate-Loss Classification Reductions paper
Language:Python3 3 01
CausalML/ProximalRL
Code for Proximal RL Paper
Language:Python3 3 01
CausalML/RetargetedPolicyLearning
Language:R3 2 11
CausalML/VMM
Code for reproducing experiments for paper "The Variational Method of Moments"
Language:Python3 3 05
CausalML/ContextualLPCode
Replication code for the paper " Fast Rates for Contextual Linear Optimization".
Language:Python2 2 0
CausalML/SmoothBandit
Language:Jupyter Notebook2
CausalML/TreatmentEffectRisk
Language:R21
CausalML/BoundsOnFractionNegativelyAffected
Language:R1 0 0
CausalML/ConfoundingRobustInfiniteHorizon
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning
Language:Jupyter Notebook1 2 00
CausalML/DoublyRobustOPEForDeterministicPolicies
Language:Python11
CausalML/DoublyValidDoublySharpSensitivity
Language:R1
CausalML/adversarial-ope
Language:Python1 0
CausalML/Efficient_estimation_surrogate
CausalML/NaturalStochasticOPE
Language:Python1 0
CausalML/SABRE
Language:Python
CausalML/Weak-Instruments-Obs-Data-CATE
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
Language:Jupyter Notebook