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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models NIPS 2010
Approximate inference in continuous time Gaussian-Jump processes NIPS 2010
A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration NIPS 2010
On Finding Predictors for Arbitrary Families of Processes JMLR 2010
Stability Bounds for Stationary φ-mixing and β-mixing Processes JMLR 2010
Perturbation Corrections in Approximate Inference: Mixture Modelling Applications JMLR 2009
Learning in Markov Random Fields using Tempered Transitions NIPS 2009
A Stochastic approximation method for inference in probabilistic graphical models NIPS 2009
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NIPS 2009
Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models NIPS 2009
A joint maximum-entropy model for binary neural population patterns and continuous signals NIPS 2009
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation NIPS 2009
Indian Buffet Processes with Power-law Behavior NIPS 2009
Stable and Efficient Gaussian Process Calculations JMLR 2009
Bootstrapping from Game Tree Search NIPS 2009
Know Thy Neighbour: A Normative Theory of Synaptic Depression NIPS 2009
Maximum likelihood trajectories for continuous-time Markov chains NIPS 2009
Riffled Independence for Ranked Data NIPS 2009
Fast Learning from Non-i.i.d. Observations NIPS 2009
Improving Existing Fault Recovery Policies NIPS 2009
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory NIPS 2009
Perceptual Multistability as Markov Chain Monte Carlo Inference NIPS 2009
Sensitivity analysis in HMMs with application to likelihood maximization NIPS 2009
The Mondrian Process NIPS 2008
Kernel Measures of Independence for non-iid Data NIPS 2008