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Stochastic Processes

2,667 papers

Papers per year

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60
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Papers

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
ODE parameter inference using adaptive gradient matching with Gaussian processes AISTATS 2013
Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013
Sparse Subspace Denoising for Image Manifolds CVPR 2013
Intrinsic Characterization of Dynamic Surfaces CVPR 2013
Recovering Line-Networks in Images by Junction-Point Processes CVPR 2013
Topology-Constrained Layered Tracking with Latent Flow ICCV 2013
Slice Sampling Particle Belief Propagation ICCV 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013
Parsing epileptic events using a Markov switching process model for correlated time series ICML 2013
Better Mixing via Deep Representations ICML 2013
Toward Optimal Stratification for Stratified Monte-Carlo Integration ICML 2013
An Adaptive Learning Rate for Stochastic Variational Inference ICML 2013
Top-down particle filtering for Bayesian decision trees ICML 2013
Dynamic Covariance Models for Multivariate Financial Time Series ICML 2013
Gaussian Process Kernels for Pattern Discovery and Extrapolation ICML 2013
Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013
Lower Bounds and Selectivity of Weak-Consistent Policies in Stochastic Multi-Armed Bandit Problem JMLR 2013
Stochastic Variational Inference JMLR 2013
Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs JMLR 2013
Segregating Event Streams and Noise with a Markov Renewal Process Model JMLR 2013
Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees JMLR 2013
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models JMLR 2013