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Mathematics & Optimization › Probability ›

Stochastic Processes

438 papers

Papers per year

7
9
29
16
'10
'15
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Papers

On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems AISTATS 2012
Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs AISTATS 2012
An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling AISTATS 2012
Analytical Results for the Error in Filtering of Gaussian Processes NIPS 2011
Accelerated Adaptive Markov Chain for Partition Function Computation NIPS 2011
Finite Time Analysis of Stratified Sampling for Monte Carlo NIPS 2011
Inference in continuous-time change-point models NIPS 2011
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011
Switch-Reset Models : Exact and Approximate Inference AISTATS 2011
Does an Efficient Calibrated Forecasting Strategy Exist? COLT 2011
Fractionally Predictive Spiking Neurons NIPS 2010
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning NIPS 2010
Throttling Poisson Processes NIPS 2010
Approximate inference in continuous time Gaussian-Jump processes NIPS 2010
Copula Processes NIPS 2010
REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010
Risk Bounds for Levy Processes in the PAC-Learning Framework AISTATS 2010
Non-stationary continuous dynamic Bayesian networks NIPS 2009
Sensitivity analysis in HMMs with application to likelihood maximization NIPS 2009
A Stochastic approximation method for inference in probabilistic graphical models NIPS 2009
Perceptual Multistability as Markov Chain Monte Carlo Inference NIPS 2009
Riffled Independence for Ranked Data NIPS 2009
A General Projection Property for Distribution Families NIPS 2009
Maximum likelihood trajectories for continuous-time Markov chains NIPS 2009