stochastic processes

A Proof of The Changepoint Detection Threshold Conjecture in Preferential Attachment Models COLT 2025 Distances for Markov Chains, and Their Differentiation ALT 2024 Learning the Infinitesimal Generator of Stochastic Diffusion Processes NeurIPS 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 NeurIPS 2013 Predictive PAC Learning and Process Decompositions NeurIPS 2013 Learning with Partially Absorbing Random Walks NeurIPS 2012 MCMC for continuous-time discrete-state systems NeurIPS 2012 On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization NeurIPS 2012 Inference in continuous-time change-point models NeurIPS 2011 Priors over Recurrent Continuous Time Processes NeurIPS 2011 TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NeurIPS 2011 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Construction of Nonparametric Bayesian Models from Parametric Bayes Equations NeurIPS 2009 Fast Learning from Non-i.i.d. Observations NeurIPS 2009 Indian Buffet Processes with Power-law Behavior NeurIPS 2009 A Probabilistic Approach to Language Change NeurIPS 2007 Inferring Elapsed Time from Stochastic Neural Processes NeurIPS 2007 Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression NeurIPS 2007 Sequential Hypothesis Testing under Stochastic Deadlines NeurIPS 2007 Variational Inference for Diffusion Processes NeurIPS 2007 Optimal Change-Detection and Spiking Neurons NeurIPS 2006