conftrace_

observational datum

109 papers

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Co-occurring keywords

causal inference (1630) treatment effect (134) causal discovery (460) causal effect estimation (69) propensity score (47) treatment effect estimation (72) domain adaptation (4595) heterogeneous treatment effect (50) individual treatment effect (22) counterfactual reasoning (230)

Papers

A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference ICML 2021
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data NIPS 2021
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data NIPS 2021
Causal Inference for Event Pairs in Multivariate Point Processes NIPS 2021
Learning Adjustment Sets from Observational and Limited Experimental Data AAAI 2021
Causal Effects of Linguistic Properties NAACL 2021
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation AISTATS 2021
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions ICML 2020
Learning Robust Decision Policies from Observational Data NIPS 2020
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding NIPS 2020
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates ACL 2020
Integrating Overlapping Datasets Using Bivariate Causal Discovery AAAI 2020
Feature relevance quantification in explainable AI: A causal problem AISTATS 2020
Ivy: Instrumental Variable Synthesis for Causal Inference AISTATS 2020
Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation UAI 2020
Causal Discovery Toolbox: Uncovering causal relationships in Python JMLR 2020
IDA with Background Knowledge UAI 2020
Discovering cause-effect relationships in spatial systems with a known direction based on observational data PGM 2020
Counterfactual Prediction for Bundle Treatment NIPS 2020
Counterfactual Predictions under Runtime Confounding NIPS 2020
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves AAAI 2020
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training ICML 2020
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects AISTATS 2020