Co-occurring keywords · papers mentioning both
Papers
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
NeurIPS 2021
Treatment Effect Estimation with Disentangled Latent Factors
AAAI 2021
VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
ICLR 2021
A/B Testing in Dense Large-Scale Networks: Design and Inference
NeurIPS 2020
Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation
UAI 2020
Causal Inference using Gaussian Processes with Structured Latent Confounders
ICML 2020
Estimation of Bounds on Potential Outcomes For Decision Making
ICML 2020
General Control Functions for Causal Effect Estimation from IVs
NeurIPS 2020
Identification and Estimation of Causal Effects Defined by Shift Interventions
UAI 2020
Identifying Spurious Correlations for Robust Text Classification
EMNLP 2020
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
AAAI 2020
Learning Disentangled Representations for CounterFactual Regression
ICLR 2020
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects
AISTATS 2020
OrganITE: Optimal transplant donor organ offering using an individual treatment effect
NeurIPS 2020
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment
NeurIPS 2020
Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services
AAAI 2019
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding
AAAI 2019
Predicting Phase 3 Clinical Trial Results by Modeling Phase 2 Clinical Trial Subject Level Data Using Deep Learning
MLHC 2019
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records
MLHC 2019
Unit Selection Based on Counterfactual Logic
IJCAI 2019
Validating Causal Inference Models via Influence Functions
ICML 2019
When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation
AAAI 2019
Optimization over Continuous and Multi-dimensional Decisions with Observational Data
NeurIPS 2018
Orthogonal Machine Learning: Power and Limitations
ICML 2018
Representation Learning for Treatment Effect Estimation from Observational Data
NeurIPS 2018