| Exponentiated Strongly Rayleigh Distributions | Dec 1, 2018 | Point Processes | —Unverified | 0 |
| Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem | Dec 1, 2018 | Point Processes | —Unverified | 0 |
| Maximizing Induced Cardinality Under a Determinantal Point Process | Dec 1, 2018 | Point ProcessesRecommendation Systems | —Unverified | 0 |
| Non-submodular Function Maximization subject to a Matroid Constraint, with Applications | Nov 19, 2018 | Point Processes | —Unverified | 0 |
| Deep Determinantal Point Processes | Nov 17, 2018 | DiversityPoint Processes | —Unverified | 0 |
| Learning Temporal Point Processes via Reinforcement Learning | Nov 12, 2018 | Point Processesreinforcement-learning | —Unverified | 0 |
| Fast determinantal point processes via distortion-free intermediate sampling | Nov 8, 2018 | Data SummarizationPoint Processes | —Unverified | 0 |
| Stochastic Optimal Control of Epidemic Processes in Networks | Oct 30, 2018 | Point Processes | —Unverified | 0 |
| Scalable Gaussian Processes on Discrete Domains | Oct 24, 2018 | Gaussian ProcessesPoint Processes | —Unverified | 0 |
| PoPPy: A Point Process Toolbox Based on PyTorch | Oct 23, 2018 | Point Processes | CodeCode Available | 0 |
| A Polynomial Time MCMC Method for Sampling from Continuous DPPs | Oct 20, 2018 | Point Processes | —Unverified | 0 |
| Determinantal thinning of point processes with network learning applications | Oct 9, 2018 | Point ProcessesScheduling | CodeCode Available | 0 |
| Markov Properties of Discrete Determinantal Point Processes | Oct 4, 2018 | Point Processes | —Unverified | 0 |
| Clinical Risk: wavelet reconstruction networks for marked point processes | Sep 27, 2018 | Point Processes | —Unverified | 0 |
| DPPy: Sampling DPPs with Python | Sep 19, 2018 | BIG-bench Machine LearningDiversity | CodeCode Available | 0 |
| Time Perception Machine: Temporal Point Processes for the When, Where and What of Activity Prediction | Aug 13, 2018 | Activity PredictionPoint Processes | —Unverified | 0 |
| Improving Sequential Determinantal Point Processes for Supervised Video Summarization | Jul 28, 2018 | DiversityPoint Processes | —Unverified | 0 |
| Disentangling and quantifying market participant volatility contributions | Jul 18, 2018 | Point Processes | —Unverified | 0 |
| Fast Estimation of Causal Interactions using Wold Processes | Jul 12, 2018 | Point Processes | CodeCode Available | 0 |
| How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization | Jul 11, 2018 | DiversityPoint Processes | —Unverified | 0 |
| Discrete Sampling using Semigradient-based Product Mixtures | Jul 4, 2018 | Point Processes | —Unverified | 0 |
| A Review of Network Inference Techniques for Neural Activation Time Series | Jun 20, 2018 | Point ProcessesTime Series | CodeCode Available | 0 |
| Diverse Online Feature Selection | Jun 12, 2018 | Diversityfeature selection | CodeCode Available | 0 |
| Optimal Clustering under Uncertainty | Jun 2, 2018 | Clusteringparameter estimation | —Unverified | 0 |
| Learning Instance-Aware Object Detection Using Determinantal Point Processes | May 28, 2018 | Objectobject-detection | CodeCode Available | 0 |
| Multi-Task Determinantal Point Processes for Recommendation | May 24, 2018 | DiversityGeneral Classification | —Unverified | 0 |
| Efficient Inference in Multi-task Cox Process Models | May 24, 2018 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 |
| 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 |
| Exact Sampling of Determinantal Point Processes without Eigendecomposition | Feb 23, 2018 | DiversityPoint Processes | —Unverified | 0 |
| Optimized Algorithms to Sample Determinantal Point Processes | Feb 23, 2018 | Point Processes | CodeCode Available | 0 |
| VBALD - Variational Bayesian Approximation of Log Determinants | Feb 21, 2018 | BIG-bench Machine LearningGaussian Processes | —Unverified | 0 |
| Leveraged volume sampling for linear regression | Feb 19, 2018 | Point Processesregression | —Unverified | 0 |
| Steering Social Activity: A Stochastic Optimal Control Point Of View | Feb 19, 2018 | Point Processes | —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 |