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Causal Inference

934 directly classified papers

Papers per year

Papers

Minimum Intervention Cover of a Causal Graph AAAI 2019
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AAAI 2019
On Open-Universe Causal Reasoning UAI 2019
Causal Inference Under Interference And Network Uncertainty UAI 2019
Approximate Causal Abstractions UAI 2019
Beyond Structural Causal Models: Causal Constraints Models UAI 2019
Causal Discovery with General Non-Linear Relationships using Non-Linear ICA UAI 2019
From Brain Space to Distributional Space: The Perilous Journeys of fMRI Decoding ACL 2019
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias UAI 2019
Identifying Predictive Causal Factors from News Streams EMNLP 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty NIPS 2019
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments NIPS 2019
Identification of Conditional Causal Effects under Markov Equivalence NIPS 2019
An Algorithm to Learn Polytree Networks with Hidden Nodes NIPS 2019
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions NIPS 2019
Identifying Causal Effects via Context-specific Independence Relations NIPS 2019
Selecting causal brain features with a single conditional independence test per feature NIPS 2019
On Causal Identification under Markov Equivalence IJCAI 2019
Causal Discovery with Cascade Nonlinear Additive Noise Model IJCAI 2019
ASP-based Discovery of Semi-Markovian Causal Models under Weaker Assumptions IJCAI 2019
CounterFactual Regression with Importance Sampling Weights IJCAI 2019
Causal Embeddings for Recommendation: An Extended Abstract IJCAI 2019
Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding ICML 2019
Learning Optimal Fair Policies ICML 2019
Sensitivity Analysis of Linear Structural Causal Models ICML 2019