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Causal Inference

539 papers

Papers per year

5
5
49
47
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Papers

Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding AAAI 2019
Identification of Causal Effects in the Presence of Selection Bias AAAI 2019
Minimum Intervention Cover of a Causal Graph AAAI 2019
Estimating the Causal Effect from Partially Observed Time Series AAAI 2019
When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation AAAI 2019
Path-Specific Counterfactual Fairness AAAI 2019
Counterfactual Reasoning in Observational Studies AAAI 2019
Transfer Learning for Causal Sentence Detection ACL 2019
GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices CVPR 2019
Identifying Predictive Causal Factors from News Streams EMNLP 2019
Belief Update without Compactness in Non-finitary Languages IJCAI 2019
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction JMLR 2019
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias UAI 2019
Interpretable Almost Matching Exactly With Instrumental Variables UAI 2019
Identification and Estimation of Causal Effects from Dependent Data NIPS 2018
Uplift Modeling from Separate Labels NIPS 2018
Removing Hidden Confounding by Experimental Grounding NIPS 2018
Balanced Policy Evaluation and Learning NIPS 2018
Multi-domain Causal Structure Learning in Linear Systems NIPS 2018
Causal Inference via Kernel Deviance Measures NIPS 2018
Learning and Testing Causal Models with Interventions NIPS 2018
Causal Inference with Noisy and Missing Covariates via Matrix Factorization NIPS 2018
Causal Discovery from Discrete Data using Hidden Compact Representation NIPS 2018
Representation Balancing MDPs for Off-policy Policy Evaluation NIPS 2018
Computationally and statistically efficient learning of causal Bayes nets using path queries NIPS 2018