| A Tutorial on Hawkes Processes for Events in Social Media | Aug 21, 2017 | parameter estimationPoint Processes | —Unverified | 0 |
| Learning Determinantal Point Processes with Moments and Cycles | Aug 1, 2017 | Point Processes | —Unverified | 0 |
| Tick: a Python library for statistical learning, with a particular emphasis on time-dependent modelling | Jul 10, 2017 | Point ProcessesSurvival Analysis | CodeCode Available | 0 |
| Open Loop Hyperparameter Optimization and Determinantal Point Processes | Jun 6, 2017 | DiversityHyperparameter Optimization | —Unverified | 0 |
| Zonotope hit-and-run for efficient sampling from projection DPPs | May 30, 2017 | DiversityPoint Processes | —Unverified | 0 |
| Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks | May 24, 2017 | Point ProcessesTime Series | CodeCode Available | 0 |
| Wasserstein Learning of Deep Generative Point Process Models | May 23, 2017 | Point Processes | CodeCode Available | 0 |
| Probabilistic Typology: Deep Generative Models of Vowel Inventories | May 4, 2017 | Point Processes | —Unverified | 0 |
| Algorithmic trading in a microstructural limit order book model | May 3, 2017 | Algorithmic TradingPoint Processes | —Unverified | 0 |
| Determinantal Point Processes for Mini-Batch Diversification | May 1, 2017 | Point Processes | —Unverified | 0 |
| Entropic Trace Estimates for Log Determinants | Apr 24, 2017 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 |
| Échantillonnage de signaux sur graphes via des processus déterminantaux | Apr 7, 2017 | Point Processes | —Unverified | 0 |
| Bayesian Inference of Log Determinants | Apr 5, 2017 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Detecting Human Interventions on the Landscape: KAZE Features, Poisson Point Processes, and a Construction Dataset | Mar 29, 2017 | Point Processes | —Unverified | 0 |
| Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks | Mar 24, 2017 | Point ProcessesTime Series | —Unverified | 0 |
| Faster Greedy MAP Inference for Determinantal Point Processes | Mar 9, 2017 | Point Processes | CodeCode Available | 0 |
| Batched High-dimensional Bayesian Optimization via Structural Kernel Learning | Mar 6, 2017 | Bayesian OptimizationPoint Processes | CodeCode Available | 0 |
| Graph sampling with determinantal processes | Mar 5, 2017 | Graph SamplingPoint Processes | —Unverified | 0 |
| Learning Hawkes Processes from Short Doubly-Censored Event Sequences | Feb 22, 2017 | Point Processes | CodeCode Available | 0 |
| Continuous-Time User Modeling in the Presence of Badges: A Probabilistic Approach | Feb 7, 2017 | Point Processes | —Unverified | 0 |
| A Dirichlet Mixture Model of Hawkes Processes for Event Sequence Clustering | Jan 31, 2017 | Bayesian InferenceClustering | CodeCode Available | 0 |
| Variational Policy for Guiding Point Processes | Jan 30, 2017 | Point ProcessesVariational Inference | —Unverified | 0 |
| An Empirical Study of Continuous Connectivity Degree Sequence Equivalents | Nov 18, 2016 | Point Processes | —Unverified | 0 |
| Batched Gaussian Process Bandit Optimization via Determinantal Point Processes | Nov 13, 2016 | Bayesian OptimizationDiversity | —Unverified | 0 |
| Learning Determinantal Point Processes in Sublinear Time | Oct 19, 2016 | Document SummarizationPoint Processes | —Unverified | 0 |
