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Causal Inference

3310 directly classified papers

Papers per year

Papers

Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness ICML 2019
On Multi-Cause Approaches to Causal Inference with Unobserved Counfounding: Two Cautionary Failure Cases and A Promising Alternative AISTATS 2019
From Statistical Transportability to Estimating the Effect of Stochastic Interventions IJCAI 2019
Counterfactual Fairness: Unidentification, Bound and Algorithm IJCAI 2019
Temporal Information Design in Contests IJCAI 2019
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures ACL 2019
A Surprisingly Robust Trick for the Winograd Schema Challenge ACL 2019
Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test AAAI 2019
Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data MIDL 2019
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models ICML 2019
Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity EMNLP 2019
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport AISTATS 2019
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features AISTATS 2019
Theory of Minds: Understanding Behavior in Groups through Inverse Planning AAAI 2019
Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding AAAI 2019
Causal Discovery in the Presence of Missing Data AISTATS 2019
Achieving Causal Fairness through Generative Adversarial Networks IJCAI 2019
Building Causal Graphs from Medical Literature and Electronic Medical Records AAAI 2019
Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding AISTATS 2019
Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019
Learning the Structure of a Nonstationary Vector Autoregression AISTATS 2019
A Potential Outcomes Calculus for Identifying Conditional Path-Specific Effects AISTATS 2019
High-Dimensional Poisson Structural Equation Model Learning via $\ell_1$-Regularized Regression JMLR 2019
Selecting causal brain features with a single conditional independence test per feature NIPS 2019
Causal Learning via Manifold Regularization JMLR 2019