observational data

Learning Overlapping Representations for the Estimation of Individualized Treatment Effects AISTATS 2020 Learning Robust Decision Policies from Observational Data NeurIPS 2020 Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding NeurIPS 2020 Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates ACL 2020 Active Learning for Decision-Making from Imbalanced Observational Data ICML 2019 Adapting Neural Networks for the Estimation of Treatment Effects NeurIPS 2019 A Distillation Approach to Data Efficient Individual Treatment Effect Estimation AAAI 2019 Efficient augmentation and relaxation learning for individualized treatment rules using observational data JMLR 2019 Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic ICLR 2019 Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes NeurIPS 2019 Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation NeurIPS 2019 The Label Complexity of Active Learning from Observational Data NeurIPS 2019 Three-quarter Sibling Regression for Denoising Observational Data IJCAI 2019 When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation AAAI 2019 Balanced Policy Evaluation and Learning NeurIPS 2018 Challenges of Using Text Classifiers for Causal Inference EMNLP 2018 Confounding-Robust Policy Improvement NeurIPS 2018 Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks NeurIPS 2018 Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018 Multi-domain Causal Structure Learning in Linear Systems NeurIPS 2018 Not that much power: Linguistic alignment is influenced more by low-level linguistic features rather than social power ACL 2018 Optimization over Continuous and Multi-dimensional Decisions with Observational Data NeurIPS 2018 Removing Hidden Confounding by Experimental Grounding NeurIPS 2018 Representation Learning for Treatment Effect Estimation from Observational Data NeurIPS 2018 A Framework for Optimal Matching for Causal Inference AISTATS 2017