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Causal Inference

523 directly classified papers

Papers per year

Papers

Local Causal Discovery of Direct Causes and Effects NIPS 2015
Feedback Detection for Live Predictors NIPS 2014
On Estimating Causal Effects based on Supplemental Variables AISTATS 2014
Randomized Experimental Design for Causal Graph Discovery NIPS 2014
Graphical Models for Recovering Probabilistic and Causal Queries from Missing Data NIPS 2014
Causal Inference on Time Series using Restricted Structural Equation Models NIPS 2013
Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models JMLR 2013
Data-driven covariate selection for nonparametric estimation of causal effects AISTATS 2013
Graphical Models for Inference with Missing Data NIPS 2013
Controlling Selection Bias in Causal Inference AISTATS 2012
Causal discovery with scale-mixture model for spatiotemporal variance dependencies NIPS 2012
A rational model of causal inference with continuous causes NIPS 2011
Combining Experiments to Discover Linear Cyclic Models with Latent Variables AISTATS 2010
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference NIPS 2010
Causal discovery in multiple models from different experiments NIPS 2010
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies NIPS 2010
Probabilistic latent variable models for distinguishing between cause and effect NIPS 2010
Nonlinear directed acyclic structure learning with weakly additive noise models NIPS 2009
Non-stationary dynamic Bayesian networks NIPS 2008
Nonlinear causal discovery with additive noise models NIPS 2008
Integrating Locally Learned Causal Structures with Overlapping Variables NIPS 2008
Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets NIPS 2008
The Noisy-Logical Distribution and its Application to Causal Inference NIPS 2007