markov chain

Testing Closeness With Unequal Sized Samples NeurIPS 2015 Theoretical Limits of Speed and Resolution for Kinodynamic Planning in a Poisson Forest RSS 2015 Variance Reduction via Antithetic Markov Chains AISTATS 2015 Variational Generative Stochastic Networks with Collaborative Shaping ICML 2015 Deep Generative Stochastic Networks Trainable by Backprop ICML 2014 Hamiltonian Monte Carlo Without Detailed Balance ICML 2014 Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014 Positive Curvature and Hamiltonian Monte Carlo NeurIPS 2014 Robust Policies via Meshing for Metastable Rough Terrain Walking RSS 2014 Analyzing Hogwild Parallel Gaussian Gibbs Sampling NeurIPS 2013 Better Mixing via Deep Representations ICML 2013 Central Limit Theorems for Conditional Markov Chains AISTATS 2013 Computing the Stationary Distribution Locally NeurIPS 2013 Fast Determinantal Point Process Sampling with Application to Clustering NeurIPS 2013 Projecting Ising Model Parameters for Fast Mixing NeurIPS 2013 Solving inverse problem of Markov chain with partial observations NeurIPS 2013 Spike train entropy-rate estimation using hierarchical Dirichlet process priors NeurIPS 2013 Finite-Sample Analysis of Least-Squares Policy Iteration JMLR 2012 Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NeurIPS 2012 Construction of Dependent Dirichlet Processes based on Poisson Processes NeurIPS 2010 Translated Learning: Transfer Learning across Different Feature Spaces NeurIPS 2008 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events JMLR 2006 Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation JMLR 2006 Single Channel Speech Separation Using Factorial Dynamics NeurIPS 2006