Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design
Estimating individual treatment effect: generalization bounds and algorithms
Empirical Evidence of Bias. Dimensions of Methodological Quality Associated with Estimates of Treatment Effects in Controlled Trials
Estimating Causal Effects from Large Data Sets Using Propensity Scores
Modeling heterogeneous treatment effects in large-scale experiments using Bayesian Additive Regression Trees
recursive partitioning for heterogeneous causal effects .
Representation Learning for Treatment Effect Estimation from Observational Data
Identifying Conditional Causal Effects
Weighted Gaussian Process for Estimating Treatment Effect
A General Identification Condition for Causal Effects
Some practical guidance for the implementation of propensity score matching
Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization
Experimental and Quasi-Experimental Designs for Generalized Causal Inference
q - and a - learning methods for estimating optimal dynamic treatment regimes .
efficient estimation of average treatment effects using the estimated propensity score 1 .
Statistical guarantees for the EM algorithm: From population to sample-based analysis
Addressing Path Dependence and Incorporating Sample Weights in the Nonlinear Blinder-Oaxaca Decomposition Technique for Logit , Probit and Other Nonlinear Models
Balancing within the Margin : Causal Effect Estimation with Support Vector Machines ∗
Estimating heterogeneous choice models with oglm
High Dimensional Propensity Score Estimation via Covariate Balancing
Generalized Adjustment Under Confounding and Selection Biases
17-Italian Foot Function Index with numerical rating scale: development, reliability, and validity of a modified version of the original Foot Function Index.
Emotion Detection in Online Social Network Based on Multi-label Learning
A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning
SMART: A single-cycle reconfigurable NoC for SoC applications
is that car smiling at me ? schema congruity as a basis for evaluating anthropomorphized products .