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Causal Inference

3310 directly classified papers

Papers per year

Papers

CNRL at SemEval-2020 Task 5: Modelling Causal Reasoning in Language with Multi-Head Self-Attention Weights Based Counterfactual Detection SEMEVAL 2020
Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis SEMEVAL 2020
LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Pretraining Language Model SEMEVAL 2020
Mxgra at SemEval-2020 Task 4: Common Sense Making with Next Token Prediction SEMEVAL 2020
Team Solomon at SemEval-2020 Task 4: Be Reasonable: Exploiting Large-scale Language Models for Commonsense Reasoning SEMEVAL 2020
ETHAN at SemEval-2020 Task 5: Modelling Causal Reasoning in Language Using Neuro-symbolic Cloud Computing SEMEVAL 2020
UAICS at SemEval-2020 Task 4: Using a Bidirectional Transformer for Task a SEMEVAL 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
Feature relevance quantification in explainable AI: A causal problem AISTATS 2020
Inference of Dynamic Graph Changes for Functional Connectome AISTATS 2020
Learning Sparse Nonparametric DAGs AISTATS 2020
Dynamical Systems Theory for Causal Inference with Application to Synthetic Control Methods AISTATS 2020
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference AISTATS 2020
Causal inference in degenerate systems: An impossibility result AISTATS 2020
Causal screening in dynamical systems UAI 2020
Learning Joint Nonlinear Effects from Single-variable Interventions in the Presence of Hidden Confounders UAI 2020
Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects UAI 2020
IDA with Background Knowledge UAI 2020
Statistically Efficient Greedy Equivalence Search UAI 2020
Evaluation of Causal Structure Learning Algorithms via Risk Estimation UAI 2020
Regret Analysis of Bandit Problems with Causal Background Knowledge UAI 2020
Semi-supervised learning, causality, and the conditional cluster assumption UAI 2020
Encoding Physical Constraints in Differentiable Newton-Euler Algorithm L4DC 2020
I Know What You Asked: Graph Path Learning using AMR for Commonsense Reasoning COLING 2020
Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources COLING 2020