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stochastic processes

22 papers

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SP

Co-occurring keywords

bayesian inference (1904) stochastic process (388) reinforcement learning (4122) probabilistic modeling (851) nonparametric bayesian (124) variational inference (2069) markov chain monte carlo (724) time series (434) value function (294) poisson process (35)

Papers

Learning the Infinitesimal Generator of Stochastic Diffusion Processes NIPS 2024
Distances for Markov Chains, and Their Differentiation ALT 2024
Stochastic Generative Flow Networks UAI 2023
Point Process Modelling of Rumour Dynamics in Social Media ACL 2015
Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NIPS 2013
Predictive PAC Learning and Process Decompositions NIPS 2013
MCMC for continuous-time discrete-state systems NIPS 2012
On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NIPS 2012
Learning with Partially Absorbing Random Walks NIPS 2012
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NIPS 2011
Priors over Recurrent Continuous Time Processes NIPS 2011
Inference in continuous-time change-point models NIPS 2011
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NIPS 2010
Indian Buffet Processes with Power-law Behavior NIPS 2009
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NIPS 2009
Fast Learning from Non-i.i.d. Observations NIPS 2009
Inferring Elapsed Time from Stochastic Neural Processes NIPS 2007
Variational Inference for Diffusion Processes NIPS 2007
Sequential Hypothesis Testing under Stochastic Deadlines NIPS 2007
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression NIPS 2007
A Probabilistic Approach to Language Change NIPS 2007
Optimal Change-Detection and Spiking Neurons NIPS 2006