Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: machine learning methods for estimating heterogeneous causal effects .
Statistics and Causal Inference
A Bayesian Approach to Causal Discovery
Adversarial Balancing for Causal Inference
Joint Causal Inference from Multiple Datasets
ZaliQL: Causal Inference from Observational Data at Scale
Stability of Causal Inference
Causal Structure Learning and Inference: A Selective Review
Distinguishing cause from effect using observational data: methods and benchmarks
How Coarsening Simplifies Matching-Based Causal Inference Theory ∗
Causal mediation analysis
Weighted Gaussian Process for Estimating Treatment Effect
Causal Effects in Mediation Modeling: An Introduction With Applications to Latent Variables
Application of Causal Inference to Genomic Analysis: Advances in Methodology
Identifying Finite Mixtures of Nonparametric Product Distributions and Causal Inference of Confounders
Causal Mediation Analysis with Multiple Mediators
Causal Inference on Event Sequences
Bayesian generic priors for causal learning
Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments
Non-Parametric Path Analysis in Structural Causal Models
Learning Causal Structures Using Regression Invariance
Assessment of Comprehensive Analysis Calculation of Airloads on Helicopter Rotors
Efficient clustering and quantisation of SIFT features: exploiting characteristics of the SIFT descriptor and interest region detectors under image inversion
Patch-based fully convolutional neural network with skip connections for retinal blood vessel segmentation
A circularly-polarized aperture array antenna with a corporate-feed hollow-waveguide circuit in the 60 GHz-band
Multiclass Classification with Filter Trees