observational data

Causal Inference for Event Pairs in Multivariate Point Processes NeurIPS 2021 Estimation and Optimization of Composite Outcomes JMLR 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 Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community EMNLP 2021 Learning Adjustment Sets from Observational and Limited Experimental Data AAAI 2021 Learning Deep Features in Instrumental Variable Regression ICLR 2021 Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NeurIPS 2021 Text as Causal Mediators: Research Design for Causal Estimates of Differential Treatment of Social Groups via Language Aspects EMNLP 2021 VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments ICLR 2021 Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation UAI 2020 Causal Discovery Toolbox: Uncovering causal relationships in Python JMLR 2020 Counterfactual Prediction for Bundle Treatment NeurIPS 2020 Counterfactual Predictions under Runtime Confounding NeurIPS 2020 DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training ICML 2020 Discovering cause-effect relationships in spatial systems with a known direction based on observational data PGM 2020 Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020 Feature relevance quantification in explainable AI: A causal problem AISTATS 2020 Gradient-Based Neural DAG Learning ICLR 2020 IDA with Background Knowledge UAI 2020 Integrating Overlapping Datasets Using Bivariate Causal Discovery AAAI 2020 Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions ICML 2020 Ivy: Instrumental Variable Synthesis for Causal Inference AISTATS 2020 Learning Counterfactual Representations for Estimating Individual Dose-Response Curves AAAI 2020 Learning Disentangled Representations for CounterFactual Regression ICLR 2020