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Stochastic Processes

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Papers

Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards NeurIPS 2014 Stochastic Variational Inference for Bayesian Time Series Models ICML 2014 Streaming, Memory Limited Algorithms for Community Detection NeurIPS 2014 Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014 Tilted Variational Bayes AISTATS 2014 Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach ICML 2014 Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms ICML 2014 Variational Gaussian Process State-Space Models NeurIPS 2014 Adaptive Estimation of Measurement Bias in Three-Dimensional Field Sensors with Angular Rate Sensors: Theory and Comparative Experimental Evaluation RSS 2013 Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013 An Adaptive Learning Rate for Stochastic Variational Inference ICML 2013 Analyzing Hogwild Parallel Gaussian Gibbs Sampling NeurIPS 2013 Annealing between distributions by averaging moments NeurIPS 2013 Approximate Gaussian process inference for the drift function in stochastic differential equations NeurIPS 2013 Approximate inference in latent Gaussian-Markov models from continuous time observations NeurIPS 2013 Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NeurIPS 2013 Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NeurIPS 2013 Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees JMLR 2013 Better Mixing via Deep Representations ICML 2013 Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NeurIPS 2013 Capacity of strong attractor patterns to model behavioural and cognitive prototypes NeurIPS 2013 Computing the Stationary Distribution Locally NeurIPS 2013 Correlations strike back (again): the case of associative memory retrieval NeurIPS 2013 Dynamic Covariance Models for Multivariate Financial Time Series ICML 2013 Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013