treatment effect

Semiparametric causal sufficient dimension reduction of multidimensional treatments UAI 2022 Unit Selection with Causal Diagram AAAI 2022 What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment NeurIPS 2022 A kernel two-sample test with selection bias UAI 2021 An Online Sequential Test for Qualitative Treatment Effects JMLR 2021 Bayesian Topic Regression for Causal Inference EMNLP 2021 Bounding Causal Effects on Continuous Outcome AAAI 2021 Causal and interventional Markov boundaries UAI 2021 Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data NeurIPS 2021 Causal Effect Inference for Structured Treatments NeurIPS 2021 Causal Inference for Event Pairs in Multivariate Point Processes NeurIPS 2021 Causal Inference under Networked Interference and Intervention Policy Enhancement AISTATS 2021 Counterfactual Representation Learning with Balancing Weights AISTATS 2021 Efficient Online Estimation of Causal Effects by Deciding What to Observe NeurIPS 2021 Estimating Multi-cause Treatment Effects via Single-cause Perturbation NeurIPS 2021 Estimating the Long-Term Effects of Novel Treatments NeurIPS 2021 Estimating treatment effects with observed confounders and mediators UAI 2021 High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation AISTATS 2021 How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference ICML 2021 Incentivizing Compliance with Algorithmic Instruments ICML 2021 Invariant representation learning for treatment effect estimation UAI 2021 Learning Faithful Representations of Causal Graphs ACL 2021 Learning Generalized Gumbel-max Causal Mechanisms NeurIPS 2021 Learning Treatment Effects in Panels with General Intervention Patterns NeurIPS 2021 SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data NeurIPS 2021