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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
2018 Learning Representations for Counterfactual Inference.pdf		2018 Learning Representations for Counterfactual Inference.pdf
2019《Causal Inference- What If 》.pdf		2019《Causal Inference- What If 》.pdf
A Proportional Hazards Approach to Campaign List Selection.pdf		A Proportional Hazards Approach to Campaign List Selection.pdf
A Survey of Learning Causality with Data- Problems and Methods.pdf		A Survey of Learning Causality with Data- Problems and Methods.pdf
A Survey on Causal Inference.pdf		A Survey on Causal Inference.pdf
Adapting Neural Networks for Uplift Models.pdf		Adapting Neural Networks for Uplift Models.pdf
Adapting Neural Networks for the Estimation of Treatment Effects.pdf		Adapting Neural Networks for the Estimation of Treatment Effects.pdf
Bayesian nonparametric modeling for causal inference.pdf		Bayesian nonparametric modeling for causal inference.pdf
CAUSAL DISCOVERY WITH REINFORCEMENT LEARNING.pdf		CAUSAL DISCOVERY WITH REINFORCEMENT LEARNING.pdf
Causal Effect Inference with Deep Latent-Variable Models.pdf		Causal Effect Inference with Deep Latent-Variable Models.pdf
Causal Inference and Uplift Modeling A review of the literature.pdf		Causal Inference and Uplift Modeling A review of the literature.pdf
Causal Reasoning from Meta-reinforcement Learning.pdf		Causal Reasoning from Meta-reinforcement Learning.pdf
Decision trees for uplift modeling with single and multiple treatments.pdf		Decision trees for uplift modeling with single and multiple treatments.pdf
Deep Counterfactual Networks with Propensity-Dropout.pdf		Deep Counterfactual Networks with Propensity-Dropout.pdf
Estimating individual treatment effect- generalization bounds and algorithms.pdf		Estimating individual treatment effect- generalization bounds and algorithms.pdf
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests.pdf		Estimation and Inference of Heterogeneous Treatment Effects using Random Forests.pdf
Feature Selection Methods for Uplift Modeling.pdf		Feature Selection Methods for Uplift Modeling.pdf
GANITE- Estimation of Individualized Treatment Effects Using Generative Adversarial Nets.pdf		GANITE- Estimation of Individualized Treatment Effects Using Generative Adversarial Nets.pdf
Generalized Random Forests.pdf		Generalized Random Forests.pdf
Heterogeneous Treatment Effects and Optimal Targeting Policy Evaluation.pdf		Heterogeneous Treatment Effects and Optimal Targeting Policy Evaluation.pdf
LICENSE		LICENSE
Learning Causal Models Online .pdf		Learning Causal Models Online .pdf
Learning Representations for Counterfactual Inference.pdf		Learning Representations for Counterfactual Inference.pdf
Learning Triggers for Heterogeneous Treatment Effects.pdf		Learning Triggers for Heterogeneous Treatment Effects.pdf
Machine Learning Estimation of Heterogeneous Causal Effects- Empirical Monte Carlo Evidence.pdf		Machine Learning Estimation of Heterogeneous Causal Effects- Empirical Monte Carlo Evidence.pdf
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning.pdf		Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning.pdf
Modeling heterogeneous treatment effects in survey experiments with Bayesian additive regression trees.pdf		Modeling heterogeneous treatment effects in survey experiments with Bayesian additive regression trees.pdf
Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies.pdf		Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies.pdf
NIPS-2017-causal-effect-inference-with-deep-latent-variable-models-Paper.pdf		NIPS-2017-causal-effect-inference-with-deep-latent-variable-models-Paper.pdf
Orthogonal Random Forest for Causal Inference.pdf		Orthogonal Random Forest for Causal Inference.pdf
Quasi-Oracle Estimation of Heterogeneous Treatment Effects.pdf		Quasi-Oracle Estimation of Heterogeneous Treatment Effects.pdf
README.md		README.md
Real-World Uplift Modelling with Significance-Based Uplift Trees.pdf		Real-World Uplift Modelling with Significance-Based Uplift Trees.pdf
Recursive Partitioning for Heterogeneous Causal Effects.pdf		Recursive Partitioning for Heterogeneous Causal Effects.pdf
Reinforcement Learning for Uplift Modeling.pdf		Reinforcement Learning for Uplift Modeling.pdf
Semiparametric Difference-in-Differences Estimators.pdf		Semiparametric Difference-in-Differences Estimators.pdf
The Book of Why - Judea Pearl.pdf		The Book of Why - Judea Pearl.pdf
The Central Role of the Propensity Score in Observational Studies for Causal Effects.pdf		The Central Role of the Propensity Score in Observational Studies for Causal Effects.pdf
The book of Why中文版.pdf		The book of Why中文版.pdf
Uplif-based Evaluation and Optimization of Recommenders.pdf		Uplif-based Evaluation and Optimization of Recommenders.pdf
Uplift Modeling for Multiple Treatments with Cost Optimization.pdf		Uplift Modeling for Multiple Treatments with Cost Optimization.pdf
Uplift modeling with multiple treatments and general response types.pdf		Uplift modeling with multiple treatments and general response types.pdf

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