Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: meta - learners for estimating heterogeneous treatment effects using machine learning ∗ .
machine learning methods for estimating heterogeneous causal effects .
Fixed Effects vs. Random Effects Meta- Analysis Models: Implications for Cumulative Research Knowledge
A regression tree approach to identifying subgroups with differential treatment effects
Estimating Causal Effects from Large Data Sets Using Propensity Scores
recursive partitioning for heterogeneous causal effects .
Cross-disciplinary perspectives on meta-learning for algorithm selection
Learning causal models from existing randomized experiments : Meta-analysis using regularized instrumental variables
A Perspective View and Survey of Meta-Learning
q - and a - learning methods for estimating optimal dynamic treatment regimes .
Causal Effect Inference with Deep Latent-Variable Models
A random-effects regression model for meta-analysis.
Estimating heterogeneous choice models with oglm
Identifying Conditional Causal Effects
causal models and learning from data : integrating causal modeling and statistical estimation .
A Meta-Instrument for Interactive, On-the-Fly Machine Learning
Quantifying heterogeneity in a meta-analysis.
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms
Statistics and Causal Inference: A Review
Partial AUC Estimation and Regression
Dynamic Data-Driven Estimation of Non-Parametric Choice Models
From human factors to human actors: the role of psychology and human-computer interaction studies in system design
Understanding Gating Operations in Recurrent Neural Networks through Opinion Expression Extraction
Doubly Robust Policy Evaluation and Learning
Secure outsourced skyline query processing via untrusted cloud service providers
No-cost distance estimation using standard WSN radios