Stochastic Processes

Learning from Contagion (Without Timestamps) ICML 2014 Linear Programming for Large-Scale Markov Decision Problems ICML 2014 Locally Adaptive Factor Processes for Multivariate Time Series JMLR 2014 Memory (and Time) Efficient Sequential Monte Carlo ICML 2014 Modeling Correlated Arrival Events with Latent Semi-Markov Processes ICML 2014 Multiscale Fields of Patterns NeurIPS 2014 Near-Optimal Herding COLT 2014 Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014 On Modelling Non-linear Topical Dependencies ICML 2014 Parallel MCMC with Generalized Elliptical Slice Sampling JMLR 2014 Parallel Sampling of HDPs using Sub-Cluster Splits NeurIPS 2014 Particle Gibbs with Ancestor Sampling JMLR 2014 Persistent Monitoring of Stochastic Spatio-temporal Phenomena with a Small Team of Robots RSS 2014 Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014 Projecting Markov Random Field Parameters for Fast Mixing NeurIPS 2014 Rectangular Tiling Process ICML 2014 Robust Policies via Meshing for Metastable Rough Terrain Walking RSS 2014 Robust Stochastic Principal Component Analysis AISTATS 2014 Sample Efficient Reinforcement Learning with Gaussian Processes ICML 2014 Scalable Kernel Methods via Doubly Stochastic Gradients NeurIPS 2014 Scanline Sampler without Detailed Balance: An Efficient MCMC for MRF Optimization CVPR 2014 Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NeurIPS 2014 Simultaneous Compliance and Registration Estimation for Robotic Surgery RSS 2014 Smoothed Gradients for Stochastic Variational Inference NeurIPS 2014 Stochastic Gradient Hamiltonian Monte Carlo ICML 2014