← Learning Types
Machine Learning › Learning Types ›

Causal Inference

523 directly classified papers

Papers per year

Papers

Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments NIPS 2019
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness NIPS 2019
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation NIPS 2019
Policy Evaluation with Latent Confounders via Optimal Balance NIPS 2019
Near-Optimal Reinforcement Learning in Dynamic Treatment Regimes NIPS 2019
Triad Constraints for Learning Causal Structure of Latent Variables NIPS 2019
Causal Confusion in Imitation Learning NIPS 2019
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data NIPS 2019
Using Embeddings to Correct for Unobserved Confounding in Networks NIPS 2019
Variance Reduction in Bipartite Experiments through Correlation Clustering NIPS 2019
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions NIPS 2019
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds NIPS 2019
Identifying Causal Effects via Context-specific Independence Relations NIPS 2019
Conditional Independence Testing using Generative Adversarial Networks NIPS 2019
Constraint-based Causal Structure Learning with Consistent Separating Sets NIPS 2019
Robust Multi-agent Counterfactual Prediction NIPS 2019
Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering NIPS 2019
When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation AAAI 2019
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction JMLR 2019
Interpretable Almost Matching Exactly With Instrumental Variables UAI 2019
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias UAI 2019
Belief Update without Compactness in Non-finitary Languages IJCAI 2019
Transfer Learning for Causal Sentence Detection ACL 2019
Identifying Predictive Causal Factors from News Streams EMNLP 2019
Multi-domain Causal Structure Learning in Linear Systems NIPS 2018