Artificial Intelligence

Bayesian Hierarchical Reinforcement Learning NeurIPS 2012 Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach AISTATS 2012 Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets JMLR 2012 Bayesian models for Large-scale Hierarchical Classification NeurIPS 2012 Bayesian Nonparametric Modeling of Suicide Attempts NeurIPS 2012 Bayesian nonparametric models for bipartite graphs NeurIPS 2012 Bayesian nonparametric models for ranked data NeurIPS 2012 Bayesian Pedigree Analysis using Measure Factorization NeurIPS 2012 Bayesian Probabilistic Co-Subspace Addition NeurIPS 2012 Bayesian Quadrature for Ratios AISTATS 2012 Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012 Bayesian Warped Gaussian Processes NeurIPS 2012 Burn-in, bias, and the rationality of anchoring NeurIPS 2012 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 Cocktail Party Processing via Structured Prediction NeurIPS 2012 Collaborative Gaussian Processes for Preference Learning NeurIPS 2012 Colour-Consistent Structure-from-Motion Models using Underwater Imagery RSS 2012 CompAct Arm™: a Compliant Manipulator with Intrinsic Variable Physical Damping RSS 2012 Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NeurIPS 2012 Compressive neural representation of sparse, high-dimensional probabilities NeurIPS 2012 Contextual Sequence Prediction with Application to Control Library Optimization RSS 2012 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NeurIPS 2012