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Stochastic Processes

2667 directly classified papers

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Papers

Automated Variational Inference for Gaussian Process Models NIPS 2014
Parallel Sampling of HDPs using Sub-Cluster Splits NIPS 2014
Fast Sampling-Based Inference in Balanced Neuronal Networks NIPS 2014
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NIPS 2014
Articulated Pose Estimation via Over-parametrization and Noise Projection RSS 2014
Simultaneous Compliance and Registration Estimation for Robotic Surgery RSS 2014
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NIPS 2014
Multiscale Fields of Patterns NIPS 2014
Sample Efficient Reinforcement Learning with Gaussian Processes ICML 2014
Locally Adaptive Factor Processes for Multivariate Time Series JMLR 2014
High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation AISTATS 2014
Approximate Policy Iteration Schemes: A Comparison ICML 2014
On Modelling Non-linear Topical Dependencies ICML 2014
Rectangular Tiling Process ICML 2014
Deep Generative Stochastic Networks Trainable by Backprop ICML 2014
Near-Optimal Herding COLT 2014
Linear Programming for Large-Scale Markov Decision Problems ICML 2014
An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy ICML 2014
Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014
Learning from Contagion (Without Timestamps) ICML 2014
Discovering Latent Network Structure in Point Process Data ICML 2014
Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms ICML 2014
Stochastic Variational Inference for Bayesian Time Series Models ICML 2014
Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards NIPS 2014
Bayesian Switching Interaction Analysis Under Uncertainty AISTATS 2014