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Causal Inference

934 directly classified papers

Papers per year

Papers

Direct Estimation of Differences in Causal Graphs NIPS 2018
Challenges of Using Text Classifiers for Causal Inference EMNLP 2018
Invariant Models for Causal Transfer Learning JMLR 2018
Learning linear structural equation models in polynomial time and sample complexity AISTATS 2018
Scalable Probabilistic Causal Structure Discovery IJCAI 2018
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models EMNLP 2018
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge EMNLP 2018
Identification and Estimation of Causal Effects from Dependent Data NIPS 2018
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models NIPS 2018
Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth AISTATS 2018
Removing Hidden Confounding by Experimental Grounding NIPS 2018
Multi-domain Causal Structure Learning in Linear Systems NIPS 2018
Belief Change in a Preferential Non-monotonic Framework IJCAI 2017
A Causal Framework for Discovering and Removing Direct and Indirect Discrimination IJCAI 2017
Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems IJCAI 2017
Counterfactual Fairness NIPS 2017
Verb Physics: Relative Physical Knowledge of Actions and Objects ACL 2017
Detecting and Explaining Causes From Text For a Time Series Event EMNLP 2017
Discovering Causal Signals in Images CVPR 2017
Faithfulness of Probability Distributions and Graphs JMLR 2017
Reasoning about Probabilities in Unbounded First-Order Dynamical Domains IJCAI 2017
CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis IJCAI 2017
Estimating individual treatment effect: generalization bounds and algorithms ICML 2017
A Framework for Optimal Matching for Causal Inference AISTATS 2017
Learning Cost-Effective and Interpretable Treatment Regimes AISTATS 2017