treatment effect estimation

Orthogonal Statistical Learning with Self-Concordant Loss COLT 2022 Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI MIDL 2022 Predictive State Propensity Subclassification (PSPS): A causal inference algorithm for data-driven propensity score stratification CLeaR 2022 Robust Direct Learning for Causal Data Fusion ACML 2022 Sample Constrained Treatment Effect Estimation NeurIPS 2022 Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation NeurIPS 2022 Budgeted Heterogeneous Treatment Effect Estimation ICML 2021 Causal Effect Inference for Structured Treatments NeurIPS 2021 Clairvoyance: A Pipeline Toolkit for Medical Time Series ICLR 2021 Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression ICML 2021 Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance NeurIPS 2021 FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference JMLR 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 Machine Learning for Variance Reduction in Online Experiments NeurIPS 2021 On Inductive Biases for Heterogeneous Treatment Effect Estimation NeurIPS 2021 Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding ICML 2021 SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes NeurIPS 2021 A Class of Algorithms for General Instrumental Variable Models NeurIPS 2020 Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation UAI 2020 Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference AISTATS 2020 Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models JMLR 2020 Estimating counterfactual treatment outcomes over time through adversarially balanced representations ICLR 2020 Learning Counterfactual Representations for Estimating Individual Dose-Response Curves AAAI 2020