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Stochastic Processes

2,667 papers

Papers per year

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Papers

HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty RSS 2018
Exploiting Stochasticity for the Control of Transitions in Gyre Flows RSS 2018
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks NIPS 2017
Scalable Levy Process Priors for Spectral Kernel Learning NIPS 2017
Real-Time Bidding with Side Information NIPS 2017
Diffusion Approximations for Online Principal Component Estimation and Global Convergence NIPS 2017
A-NICE-MC: Adversarial Training for MCMC NIPS 2017
Collecting Telemetry Data Privately NIPS 2017
Reducing Reparameterization Gradient Variance NIPS 2017
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NIPS 2017
The Scaling Limit of High-Dimensional Online Independent Component Analysis NIPS 2017
Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net NIPS 2017
Model evidence from nonequilibrium simulations NIPS 2017
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data NIPS 2017
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning NIPS 2017
Online Learning for Multivariate Hawkes Processes NIPS 2017
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NIPS 2017
Predicting User Activity Level In Point Processes With Mass Transport Equation NIPS 2017
Boltzmann Exploration Done Right NIPS 2017
Tomography of the London Underground: a Scalable Model for Origin-Destination Data NIPS 2017
Multi-Objective Non-parametric Sequential Prediction NIPS 2017
Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems NIPS 2017
Subset Selection under Noise NIPS 2017
Online Convex Optimization with Stochastic Constraints NIPS 2017
A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering NIPS 2017