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Stochastic Processes

2,667 papers

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Papers

Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
Asynchronous Anytime Sequential Monte Carlo NIPS 2014
Variational Gaussian Process State-Space Models NIPS 2014
Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards NIPS 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment NIPS 2014
Smoothed Gradients for Stochastic Variational Inference NIPS 2014
Multiscale Fields of Patterns NIPS 2014
Streaming, Memory Limited Algorithms for Community Detection NIPS 2014
Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014
Bayesian Switching Interaction Analysis Under Uncertainty AISTATS 2014
Robust Stochastic Principal Component Analysis AISTATS 2014
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014
Tilted Variational Bayes AISTATS 2014
High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation AISTATS 2014
LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series AISTATS 2014
Explicit Link Between Periodic Covariance Functions and State Space Models AISTATS 2014
Near-Optimal Herding COLT 2014
Efficient Nonlinear Markov Models for Human Motion CVPR 2014
Scanline Sampler without Detailed Balance: An Efficient MCMC for MRF Optimization CVPR 2014
Interval Tracker: Tracking by Interval Analysis CVPR 2014
Modeling Correlated Arrival Events with Latent Semi-Markov Processes ICML 2014
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach ICML 2014
On Modelling Non-linear Topical Dependencies ICML 2014
Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014