Stochastic Processes

Incremental Computation of Infix Probabilities for Probabilistic Finite Automata EMNLP 2018 INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process IJCAI 2018 Learning Localized Spatio-Temporal Models From Streaming Data ICML 2018 Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data NeurIPS 2018 On Learning Markov Chains NeurIPS 2018 Ranking Distributions based on Noisy Sorting ICML 2018 Sparse Exchangeable Graphs and Their Limits via Graphon Processes JMLR 2018 Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection ICML 2018 Stochastic Wasserstein Barycenters ICML 2018 Z-Transforms and its Inference on Partially Observable Point Processes IJCAI 2018 Achieving Optimal Misclassification Proportion in Stochastic Block Models JMLR 2017 A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation RSS 2017 Asymptotically exact inference in differentiable generative models AISTATS 2017 Bayesian Tensor Regression JMLR 2017 Diffusion Approximations for Online Principal Component Estimation and Global Convergence NeurIPS 2017 Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling IJCAI 2017 Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems NeurIPS 2017 Fast Bayesian Intensity Estimation for the Permanental Process ICML 2017 Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo ICML 2017 Learning Hawkes Processes from Short Doubly-Censored Event Sequences ICML 2017 Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models CoRL 2017 Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning NeurIPS 2017 Magnetic Hamiltonian Monte Carlo ICML 2017 Nonlinear random matrix theory for deep learning NeurIPS 2017 On Markov chain Monte Carlo methods for tall data JMLR 2017