| Deep Reinforcement Learning of Marked Temporal Point Processes | May 23, 2018 | Deep Reinforcement LearningMarketing | CodeCode Available | 0 |
| Particle-filtering approaches for nonlinear Bayesian decoding of neuronal spike trains | Apr 25, 2018 | Point Processes | —Unverified | 0 |
| Active Mini-Batch Sampling using Repulsive Point Processes | Apr 8, 2018 | Point Processes | CodeCode Available | 0 |
| Determinantal Point Processes for Coresets | Mar 23, 2018 | Point Processesregression | CodeCode Available | 0 |
| Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data | Mar 16, 2018 | Link PredictionPoint Processes | CodeCode Available | 0 |
| Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays | Mar 13, 2018 | Point Processes | —Unverified | 0 |
| Asymptotic Equivalence of Fixed-size and Varying-size Determinantal Point Processes | Mar 5, 2018 | Point Processes | —Unverified | 0 |
| Autoregressive Point-Processes as Latent State-Space Models: a Moment-Closure Approach to Fluctuations and Autocorrelations | Feb 28, 2018 | Point ProcessesState Space Models | —Unverified | 0 |
| Optimized Algorithms to Sample Determinantal Point Processes | Feb 23, 2018 | Point Processes | CodeCode Available | 0 |
| Exact Sampling of Determinantal Point Processes without Eigendecomposition | Feb 23, 2018 | DiversityPoint Processes | —Unverified | 0 |
| VBALD - Variational Bayesian Approximation of Log Determinants | Feb 21, 2018 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 |
| Steering Social Activity: A Stochastic Optimal Control Point Of View | Feb 19, 2018 | Point Processes | —Unverified | 0 |
| Leveraged volume sampling for linear regression | Feb 19, 2018 | Point Processesregression | —Unverified | 0 |
| Learning Determinantal Point Processes by Corrective Negative Sampling | Feb 15, 2018 | DiversityLanguage Modeling | —Unverified | 0 |
| Network Estimation from Point Process Data | Feb 13, 2018 | Point Processes | —Unverified | 0 |
| Decoupled Learning for Factorial Marked Temporal Point Processes | Jan 21, 2018 | Point Processes | —Unverified | 0 |
| Multiscale Sparse Microcanonical Models | Jan 6, 2018 | Gaussian ProcessesPoint Processes | —Unverified | 0 |
| Optimizing Human Learning | Dec 5, 2017 | MemorizationPoint Processes | —Unverified | 0 |
| Predicting User Activity Level In Point Processes With Mass Transport Equation | Dec 1, 2017 | Point Processes | —Unverified | 0 |
| Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation | Nov 27, 2017 | Fact CheckingMisinformation | CodeCode Available | 0 |
| Scalable Log Determinants for Gaussian Process Kernel Learning | Nov 9, 2017 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 |
| Continuous DR-submodular Maximization: Structure and Algorithms | Nov 4, 2017 | Point Processes | CodeCode Available | 0 |
| Benefits from Superposed Hawkes Processes | Oct 14, 2017 | Point ProcessesRecommendation Systems | —Unverified | 0 |
| Learning Registered Point Processes from Idiosyncratic Observations | Oct 3, 2017 | Point Processes | —Unverified | 0 |
| THAP: A Matlab Toolkit for Learning with Hawkes Processes | Aug 28, 2017 | Point Processes | CodeCode Available | 0 |
