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Stochastic Processes

373 directly classified papers

Papers per year

Papers

Spherical Hamiltonian Monte Carlo for Constrained Target Distributions ICML 2014
Linear and Parallel Learning of Markov Random Fields ICML 2014
Rectangular Tiling Process ICML 2014
Memory (and Time) Efficient Sequential Monte Carlo ICML 2014
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014
Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes ICML 2014
Convergence rates for persistence diagram estimation in Topological Data Analysis ICML 2014
Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data ICML 2014
Modeling Correlated Arrival Events with Latent Semi-Markov Processes ICML 2014
Learning Graphs with a Few Hubs ICML 2014
Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014
Learning without concentration COLT 2014
Efficient Continuous-Time Markov Chain Estimation ICML 2014
On Sparse Gaussian Chain Graph Models NIPS 2014
Asynchronous Anytime Sequential Monte Carlo NIPS 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NIPS 2014
Hamiltonian Monte Carlo Without Detailed Balance ICML 2014
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013
Fast Determinantal Point Process Sampling with Application to Clustering NIPS 2013
Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013
Annealing between distributions by averaging moments NIPS 2013
Solving inverse problem of Markov chain with partial observations NIPS 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013