Stochastic Processes

Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016 Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays ACML 2016 Slice Sampling on Hamiltonian Trajectories ICML 2016 Spectral Learning of Dynamic Systems from Nonequilibrium Data NeurIPS 2016 The Statistical Performance of Collaborative Inference JMLR 2016 Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks NeurIPS 2015 Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NeurIPS 2015 Fast and Accurate Inference of Plackett–Luce Models NeurIPS 2015 Fast Bidirectional Probability Estimation in Markov Models NeurIPS 2015 Finite-Time Analysis of Projected Langevin Monte Carlo NeurIPS 2015 From random walks to distances on unweighted graphs NeurIPS 2015 Human Memory Search as Initial-Visit Emitting Random Walk NeurIPS 2015 Infinite Factorial Dynamical Model NeurIPS 2015 MCMC Learning COLT 2015 Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path NeurIPS 2015 Testing Closeness With Unequal Sized Samples NeurIPS 2015 A* Sampling NeurIPS 2014 Asynchronous Anytime Sequential Monte Carlo NeurIPS 2014 Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014 Convergence rates for persistence diagram estimation in Topological Data Analysis ICML 2014 Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes ICML 2014 Efficient Continuous-Time Markov Chain Estimation ICML 2014 Hamiltonian Monte Carlo Without Detailed Balance ICML 2014 Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NeurIPS 2014 Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data ICML 2014