Causal Inference
3,958 papers
Papers per year
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15
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62
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285
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Papers
Missing at Random in Graphical Models
AISTATS 2015
Network Granger Causality with Inherent Grouping Structure
JMLR 2015
Rate-Agnostic (Causal) Structure Learning
NeurIPS 2015
Removing systematic errors for exoplanet search via latent causes
ICML 2015
Semi-Supervised Interpolation in an Anticausal Learning Scenario
JMLR 2015
Telling cause from effect in deterministic linear dynamical systems
ICML 2015
The Randomized Causation Coefficient
JMLR 2015
The Self-Normalized Estimator for Counterfactual Learning
NeurIPS 2015
Towards a Learning Theory of Cause-Effect Inference
ICML 2015
Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery
JMLR 2015
A Cause and Effect Analysis of Motion Trajectories for Modeling Actions
CVPR 2014
An Integer Polynomial Programming Based Framework for Lifted MAP Inference
NeurIPS 2014
Bayesian Estimation of Causal Direction in Acyclic Structural Equation Models with Individual-specific Confounder Variables and Non-Gaussian Distributions
JMLR 2014
Causal Discovery with Continuous Additive Noise Models
JMLR 2014
Causal Inference through a Witness Protection Program
NeurIPS 2014
Causal Strategic Inference in Networked Microfinance Economies
NeurIPS 2014
Feedback Detection for Live Predictors
NeurIPS 2014
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data
NeurIPS 2014
Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations
ICML 2014
High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation
JMLR 2014
On Estimating Causal Effects based on Supplemental Variables
AISTATS 2014
Order-Independent Constraint-Based Causal Structure Learning
JMLR 2014
Randomized Experimental Design for Causal Graph Discovery
NeurIPS 2014
Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models
ICML 2014
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
NeurIPS 2014