Causal Inference

Transportability from Multiple Environments with Limited Experiments: Completeness Results NeurIPS 2014 3D-Based Reasoning with Blocks, Support, and Stability CVPR 2013 A Kernel Test for Three-Variable Interactions NeurIPS 2013 A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NeurIPS 2013 Algorithms for Discovery of Multiple Markov Boundaries JMLR 2013 Anticipating Human Activities using Object Affordances for Reactive Robotic Response RSS 2013 A simple criterion for controlling selection bias AISTATS 2013 Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics CVPR 2013 Causal Inference on Time Series using Restricted Structural Equation Models NeurIPS 2013 Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising JMLR 2013 Data-driven covariate selection for nonparametric estimation of causal effects AISTATS 2013 Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NeurIPS 2013 Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network CVPR 2013 Estimation of Causal Peer Influence Effects ICML 2013 Event Detection in Complex Scenes Using Interval Temporal Constraints ICCV 2013 Experiment Selection for Causal Discovery JMLR 2013 Finding Causal Interactions in Video Sequences ICCV 2013 Graphical Models for Inference with Missing Data NeurIPS 2013 Learning Convex QP Relaxations for Structured Prediction ICML 2013 Learning Linear Bayesian Networks with Latent Variables ICML 2013 Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes AISTATS 2013 Meta-Transportability of Causal Effects: A Formal Approach AISTATS 2013 Modeling Information Propagation with Survival Theory ICML 2013 One-shot learning by inverting a compositional causal process NeurIPS 2013 Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions NeurIPS 2013