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Stochastic Processes

2667 directly classified papers

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Papers

Filtering with Abstract Particles ICML 2014
Persistent Monitoring of Stochastic Spatio-temporal Phenomena with a Small Team of Robots RSS 2014
Learning Stochastic Inverses NIPS 2013
Slice Sampling Particle Belief Propagation ICCV 2013
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models JMLR 2013
Stochastic Variational Inference JMLR 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013
Intrinsic Characterization of Dynamic Surfaces CVPR 2013
Mixed Optimization for Smooth Functions NIPS 2013
Annealing between distributions by averaging moments NIPS 2013
Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes ACML 2013
Recovering Line-Networks in Images by Junction-Point Processes CVPR 2013
Inferring neural population dynamics from multiple partial recordings of the same neural circuit NIPS 2013
Analyzing Hogwild Parallel Gaussian Gibbs Sampling NIPS 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013
ODE parameter inference using adaptive gradient matching with Gaussian processes AISTATS 2013
Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NIPS 2013
Spike train entropy-rate estimation using hierarchical Dirichlet process priors NIPS 2013
Noise-Enhanced Associative Memories NIPS 2013
Lower Bounds and Selectivity of Weak-Consistent Policies in Stochastic Multi-Armed Bandit Problem JMLR 2013
Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs JMLR 2013
Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees JMLR 2013
Fast MCMC Sampling for Markov Jump Processes and Extensions JMLR 2013
Probabilistic Movement Primitives NIPS 2013
Segregating Event Streams and Noise with a Markov Renewal Process Model JMLR 2013