Stochastic Processes

Dynamic Word Embeddings ICML 2017 Efficient Sampling from Time-Varying Log-Concave Distributions JMLR 2017 Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling IJCAI 2017 Estimating the size of search trees by sampling with domain knowledge IJCAI 2017 Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning RSS 2017 Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems NeurIPS 2017 Experience-driven Predictive Control with Robust Constraint Satisfaction under Time-Varying State Uncertainty RSS 2017 Exploiting 2D Floorplan for Building-Scale Panorama RGBD Alignment CVPR 2017 Fast Bayesian Intensity Estimation for the Permanental Process ICML 2017 Fast Change Point Detection on Dynamic Social Networks IJCAI 2017 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NeurIPS 2017 Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo ICML 2017 Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent COLT 2017 Generalized Pólya Urn for Time-Varying Pitman-Yor Processes JMLR 2017 Improving Gibbs Sampler Scan Quality with DoGS ICML 2017 Improving Prediction of Speech Activity Using Multi-Participant Respiratory State Interspeech 2017 Improving YANGsaf F0 Estimator with Adaptive Kalman Filter Interspeech 2017 Job Selection in a Network of Autonomous UAVs for Delivery of Goods RSS 2017 Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks NeurIPS 2017 Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo ICML 2017 Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems CoRL 2017 Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data NeurIPS 2017 Learning Stable Stochastic Nonlinear Dynamical Systems ICML 2017 Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds AISTATS 2017 Linking Micro Event History to Macro Prediction in Point Process Models AISTATS 2017