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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Modeling Correlated Arrival Events with Latent Semi-Markov Processes ICML 2014
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach ICML 2014
Memory (and Time) Efficient Sequential Monte Carlo ICML 2014
Tilted Variational Bayes AISTATS 2014
Robust Stochastic Principal Component Analysis AISTATS 2014
Gaussian Approximation of Collective Graphical Models ICML 2014
Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014
Kernel Adaptive Metropolis-Hastings ICML 2014
Stochastic Gradient Hamiltonian Monte Carlo ICML 2014
A Compilation Target for Probabilistic Programming Languages ICML 2014
Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes ICML 2014
Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014
Smoothed Gradients for Stochastic Variational Inference NIPS 2014
Efficient Nonlinear Markov Models for Human Motion CVPR 2014
Interval Tracker: Tracking by Interval Analysis CVPR 2014
Variational Gaussian Process State-Space Models NIPS 2014
Parallel MCMC with Generalized Elliptical Slice Sampling JMLR 2014
Scanline Sampler without Detailed Balance: An Efficient MCMC for MRF Optimization CVPR 2014
Particle Gibbs with Ancestor Sampling JMLR 2014
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment NIPS 2014
Explicit Link Between Periodic Covariance Functions and State Space Models AISTATS 2014
LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series AISTATS 2014
Robust Policies via Meshing for Metastable Rough Terrain Walking RSS 2014
Streaming, Memory Limited Algorithms for Community Detection NIPS 2014
Admixture of Poisson MRFs: A Topic Model with Word Dependencies ICML 2014