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Causal Inference

934 directly classified papers

Papers per year

Papers

Distributionally Robust Counterfactual Risk Minimization AAAI 2020
A Bayesian Approach for Estimating Causal Effects from Observational Data AAAI 2020
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves AAAI 2020
On Efficient Adjustment in Causal Graphs JMLR 2020
Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements SEMEVAL 2020
NeuInfer: Knowledge Inference on N-ary Facts ACL 2020
Language (Re)modelling: Towards Embodied Language Understanding ACL 2020
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models ICML 2020
Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals SEMEVAL 2020
Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals UAI 2020
Estimation Rates for Sparse Linear Cyclic Causal Models UAI 2020
Evaluation of Causal Structure Learning Algorithms via Risk Estimation UAI 2020
Regret Analysis of Bandit Problems with Causal Background Knowledge UAI 2020
Cause-Effect Association between Event Pairs in Event Datasets IJCAI 2020
Conditional Causal Relationships between Emotions and Causes in Texts EMNLP 2020
Causal Inference of Script Knowledge EMNLP 2020
Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth IJCAI 2020
Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain IJCAI 2020
Towards practical differentially private causal graph discovery NIPS 2020
Unbiased Scene Graph Generation From Biased Training CVPR 2020
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models AAAI 2020
Table Fact Verification with Structure-Aware Transformer EMNLP 2020
Kernel-based Approach for Learning Causal Graphs from Mixed Data PGM 2020
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification EMNLP 2020
Causal Feature Learning for Utility-Maximizing Agents PGM 2020