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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Efficient Sampling for Gaussian Process Inference using Control Variables NIPS 2008
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems NIPS 2008
Value Function Based Reinforcement Learning in Changing Markovian Environments JMLR 2008
Rademacher Complexity Bounds for Non-I.I.D. Processes NIPS 2008
Particle Filter-based Policy Gradient in POMDPs NIPS 2008
Short-Term Depression in VLSI Stochastic Synapse NIPS 2008
Stochastic Recruitment: A Limited-Feedback Control Policy for Large Ensemble Systems RSS 2008
Modeling the effects of memory on human online sentence processing with particle filters NIPS 2008
Optimal Response Initiation: Why Recent Experience Matters NIPS 2008
A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NIPS 2008
HyPE: Hybrid Particle-Element Approach for Recursive Bayesian Searching and Tracking RSS 2008
Finite-Time Bounds for Fitted Value Iteration JMLR 2008
Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons NIPS 2008
Multi-Agent Filtering with Infinitely Nested Beliefs NIPS 2008
Metastable Walking on Stochastically Rough Terrain RSS 2008
Variational inference for Markov jump processes NIPS 2007
The rat as particle filter NIPS 2007
Privacy-Preserving Belief Propagation and Sampling NIPS 2007
Sequential Hypothesis Testing under Stochastic Deadlines NIPS 2007
Adaptive Online Gradient Descent NIPS 2007
Continuous Time Particle Filtering for fMRI NIPS 2007
Collective Inference on Markov Models for Modeling Bird Migration NIPS 2007
Inferring Elapsed Time from Stochastic Neural Processes NIPS 2007
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression NIPS 2007
Variational Inference for Diffusion Processes NIPS 2007