Causal Inference

Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NeurIPS 2013 Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models JMLR 2013 Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively NeurIPS 2013 Robust learning of low-dimensional dynamics from large neural ensembles NeurIPS 2013 SADA: A General Framework to Support Robust Causation Discovery ICML 2013 Stationary-Sparse Causality Network Learning JMLR 2013 Transportability from Multiple Environments with Limited Experiments NeurIPS 2013 Underwater Camera Calibration Using Wavelength Triangulation CVPR 2013 Causal Bounds and Observable Constraints for Non-deterministic Models JMLR 2012 Causal discovery with scale-mixture model for spatiotemporal variance dependencies NeurIPS 2012 Causality with Gates AISTATS 2012 Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs JMLR 2012 Controlling Selection Bias in Causal Inference AISTATS 2012 Facilitating Score and Causal Inference Trees for Large Observational Studies JMLR 2012 Informative Priors for Markov Blanket Discovery AISTATS 2012 Learning Latent Variable Models by Pairwise Cluster Comparison ACML 2012 Learning Linear Cyclic Causal Models with Latent Variables JMLR 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012 Probabilistic Modeling of Human Movements for Intention Inference RSS 2012 Rational inference of relative preferences NeurIPS 2012 Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization NeurIPS 2012 Statistical test for consistent estimation of causal effects in linear non-Gaussian models AISTATS 2012 Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies JMLR 2012 A rational model of causal inference with continuous causes NeurIPS 2011 Collective Graphical Models NeurIPS 2011