randomized experiment

Learning plug-in surrogate endpoints for randomized experiments UAI 2026 ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments AAAI 2025 Locally Private Causal Inference for Randomized Experiments JMLR 2025 An engine not a camera: Measuring performative power of online search NeurIPS 2024 Enhancing Treatment Effect Estimation: A Model Robust Approach Integrating Randomized Experiments and External Controls using the Double Penalty Integration Estimator UAI 2023 Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation NeurIPS 2023 Leveraging Causal Graphs for Blocking in Randomized Experiments CLeaR 2023 Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations NeurIPS 2023 Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments ICML 2022 Online Balanced Experimental Design ICML 2022 Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge NeurIPS 2022 Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView EMNLP 2022 Exploring the Effects of Goal Setting When Training for Complex Crowdsourcing Tasks (Extended Abstract) IJCAI 2021 Incentivizing Compliance with Algorithmic Instruments ICML 2021 Sensitivity Analysis for Causal Mediation through Text: an Application to Political Polarization EMNLP 2021 Feedback Detection for Live Predictors NeurIPS 2014 Randomized Experimental Design for Causal Graph Discovery NeurIPS 2014