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Stochastic Processes

2667 directly classified papers

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Papers

JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes ICML 2015
State Space Methods for Efficient Inference in Student-t Process Regression AISTATS 2015
Fast Mixing for Discrete Point Processes COLT 2015
Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays ICML 2015
Perturbed Message Passing for Constraint Satisfaction Problems JMLR 2015
Fast and Accurate Inference of Plackett–Luce Models NIPS 2015
Learning Fast-Mixing Models for Structured Prediction ICML 2015
The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling ICML 2015
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization ICML 2015
Efficient Training of LDA on a GPU by Mean-for-Mode Estimation ICML 2015
MCMC Learning COLT 2015
Non-Asymptotic Analysis of a New Bandit Algorithm for Semi-Bounded Rewards JMLR 2015
Atomic Spatial Processes ICML 2015
Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models ICML 2015
Guidance and Navigation for UAV Airborne Docking RSS 2015
Predicting the Future Behavior of a Time-Varying Probability Distribution CVPR 2015
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data ICML 2015
Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015
Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches CVPR 2015
Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs ICML 2015
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014
Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data JMLR 2014
Asynchronous Anytime Sequential Monte Carlo NIPS 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014