synthetic control

ClusterSC: Advancing Synthetic Control with Donor Selection AISTATS 2025 GCF: Estimating Unobserved Demand Using Graph Causal Forecasting AAAI 2025 On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls JMLR 2025 Adaptive Experiment Design with Synthetic Controls AISTATS 2024 On the Misspecification of Linear Assumptions in Synthetic Controls AISTATS 2024 Proximal Causal Inference for Synthetic Control with Surrogates AISTATS 2024 Tangential Wasserstein Projections JMLR 2024 Differentially Private Synthetic Control AISTATS 2023 Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control NeurIPS 2023 Non-parametric identifiability and sensitivity analysis of synthetic control models CLeaR 2023 On the Assumptions of Synthetic Control Methods AISTATS 2022 Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis ICML 2021 Learning Treatment Effects in Panels with General Intervention Patterns NeurIPS 2021 Policy Analysis using Synthetic Controls in Continuous-Time ICML 2021 Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls NeurIPS 2021 Dynamical Systems Theory for Causal Inference with Application to Synthetic Control Methods AISTATS 2020 Robust Synthetic Control JMLR 2018