Artificial Intelligence

Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015 Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems AISTATS 2015 Preserving Privacy of Continuous High-dimensional Data with Minimax Filters AISTATS 2015 Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo ICML 2015 Private Graphon Estimation for Sparse Graphs NeurIPS 2015 Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks ICML 2015 Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NeurIPS 2015 Probabilistic Label Relation Graphs With Ising Models ICCV 2015 Probabilistic Semi-Dense Mapping from Highly Accurate Feature-Based Monocular SLAM RSS 2015 Probabilistic Variational Bounds for Graphical Models NeurIPS 2015 Pushing Forward Marginal MAP with Best-First Search IJCAI 2015 Quantitative Measures of a Robot's Ability to Balance RSS 2015 Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top ICML 2015 Rate-Agnostic (Causal) Structure Learning NeurIPS 2015 rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos RSS 2015 Reactive bandits with attitude AISTATS 2015 Real-Time Visual Analysis of Microvascular Blood Flow for Critical Care CVPR 2015 Reflection, Refraction, and Hamiltonian Monte Carlo NeurIPS 2015 Registering Images to Untextured Geometry Using Average Shading Gradients ICCV 2015 Regret-Based Pruning in Extensive-Form Games NeurIPS 2015 Reified Context Models ICML 2015 Removing systematic errors for exoplanet search via latent causes ICML 2015 Revenue Optimization against Strategic Buyers NeurIPS 2015 Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach NeurIPS 2015 Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis NeurIPS 2015