uncertainty quantification

Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014 Bayesian Switching Interaction Analysis Under Uncertainty AISTATS 2014 Efficiency of conformalized ridge regression COLT 2014 Interval Tracker: Tracking by Interval Analysis CVPR 2014 Probabilistic ODE Solvers with Runge-Kutta Means NeurIPS 2014 Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014 Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NeurIPS 2014 A Framework for Evaluating Approximation Methods for Gaussian Process Regression JMLR 2013 Latent Structured Active Learning NeurIPS 2013 Regret based Robust Solutions for Uncertain Markov Decision Processes NeurIPS 2013 Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 2012 Minimizing Uncertainty in Pipelines NeurIPS 2012 Trajectory-Based Short-Sighted Probabilistic Planning NeurIPS 2012 Minimax Algorithm for Learning Rotations COLT 2011 Motion Planning Under Uncertainty In Highly Deformable Environments RSS 2011 Probabilistic Inference and Differential Privacy NeurIPS 2010 Multi-resolution Exploration in Continuous Spaces NeurIPS 2008 Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NeurIPS 2007 The Stochastic Motion Roadmap: A Sampling Framework for Planning with Markov Motion Uncertainty RSS 2007 Bayesian Policy Gradient Algorithms NeurIPS 2006 Multiple timescales and uncertainty in motor adaptation NeurIPS 2006 Uncertainty, phase and oscillatory hippocampal recall NeurIPS 2006 A Universal Well-Calibrated Algorithm for On-line Classification JMLR 2004