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Stochastic Processes

92 directly classified papers

Papers per year

Papers

Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NIPS 2015
Efficient Continuous-Time Markov Chain Estimation ICML 2014
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions ICML 2014
Hamiltonian Monte Carlo Without Detailed Balance ICML 2014
Computing the Stationary Distribution Locally NIPS 2013
Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012
MCMC for continuous-time discrete-state systems NIPS 2012
Inference in continuous-time change-point models NIPS 2011
Switch-Reset Models : Exact and Approximate Inference AISTATS 2011
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011
Fractionally Predictive Spiking Neurons NIPS 2010
Maximum likelihood trajectories for continuous-time Markov chains NIPS 2009
Perceptual Multistability as Markov Chain Monte Carlo Inference NIPS 2009
Non-stationary continuous dynamic Bayesian networks NIPS 2009
The Mondrian Process NIPS 2008
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006
Statistical Dynamics of On-line Independent Component Analysis JMLR 2003