point process

Learning Registered Point Processes from Idiosyncratic Observations ICML 2018 Nested CRP with Hawkes-Gaussian Processes AISTATS 2018 Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes IJCAI 2018 Point process latent variable models of larval zebrafish behavior NeurIPS 2018 Temporal alignment and latent Gaussian process factor inference in population spike trains NeurIPS 2018 tick: a Python Library for Statistical Learning, with an emphasis on Hawkes Processes and Time-Dependent Models JMLR 2018 Z-Transforms and its Inference on Partially Observable Point Processes IJCAI 2018 A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering NeurIPS 2017 Fake News Mitigation via Point Process Based Intervention ICML 2017 Learning Hawkes Processes from Short Doubly-Censored Event Sequences ICML 2017 Linking Micro Event History to Macro Prediction in Point Process Models AISTATS 2017 LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity IJCAI 2017 Predicting User Activity Level In Point Processes With Mass Transport Equation NeurIPS 2017 Uncovering Causality from Multivariate Hawkes Integrated Cumulants ICML 2017 Wasserstein Learning of Deep Generative Point Process Models NeurIPS 2017 Efficient Point Process Inference for Large-Scale Object Detection CVPR 2016 Hawkes Processes with Stochastic Excitations ICML 2016 Infinite Hidden Semi-Markov Modulated Interaction Point Process NeurIPS 2016 Isotonic Hawkes Processes ICML 2016 Latent Point Process Allocation AISTATS 2016 Learning Granger Causality for Hawkes Processes ICML 2016 Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays ACML 2016 A Multitask Point Process Predictive Model ICML 2015 Atomic Spatial Processes ICML 2015 A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding NeurIPS 2015