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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning JMLR 2012
On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems AISTATS 2012
An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling AISTATS 2012
Flexible Martingale Priors for Deep Hierarchies AISTATS 2012
Modeling and Prediction of Pedestrian Behavior based on the Sub-goal Concept RSS 2012
Adaptive Metropolis with Online Relabeling AISTATS 2012
Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012
Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012
Online Clustering of Processes AISTATS 2012
Evaluation of marginal likelihoods via the density of states AISTATS 2012
Scalable Inference on Kingman’s Coalescent using Pair Similarity AISTATS 2012
Memory-efficient inference in dynamic graphical models using multiple cores AISTATS 2012
Practical Route Planning Under Delay Uncertainty: Stochastic Shortest Path Queries RSS 2012
On the Use of Non-Stationary Policies for Stationary Infinite-Horizon Markov Decision Processes NIPS 2012
Learning Attribute-weighted Voter Model over Social Networks ACML 2011
Estimating beta-mixing coefficients AISTATS 2011
Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results ACML 2011
Gaussian process modulated renewal processes NIPS 2011
A Bayesian Approximation Method for Online Ranking JMLR 2011
Analytical Results for the Error in Filtering of Gaussian Processes NIPS 2011
On the Relation between Realizable and Nonrealizable Cases of the Sequence Prediction Problem JMLR 2011
The Indian Buffet Process: An Introduction and Review JMLR 2011
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NIPS 2011
Variational Gaussian Process Dynamical Systems NIPS 2011
Gaussian Process Training with Input Noise NIPS 2011