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Stochastic Processes

373 directly classified papers

Papers per year

Papers

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
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
A General Projection Property for Distribution Families NIPS 2009
Maximum likelihood trajectories for continuous-time Markov chains NIPS 2009
Know Thy Neighbour: A Normative Theory of Synaptic Depression NIPS 2009
A Stochastic approximation method for inference in probabilistic graphical models NIPS 2009
Sensitivity analysis in HMMs with application to likelihood maximization NIPS 2009
Riffled Independence for Ranked Data NIPS 2009
The Gaussian Process Density Sampler NIPS 2008
The Mondrian Process NIPS 2008
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NIPS 2007
Collective Inference on Markov Models for Modeling Bird Migration NIPS 2007
Variational Inference for Diffusion Processes NIPS 2007
Inferring Elapsed Time from Stochastic Neural Processes NIPS 2007
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time NIPS 2006
Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints NIPS 2006
Uncertainty, phase and oscillatory hippocampal recall NIPS 2006
A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events JMLR 2006
Statistical Dynamics of On-line Independent Component Analysis JMLR 2003