| Online Optimization in Dynamic Environments | Jul 23, 2013 | compressed sensingPoint Processes | —Unverified | 0 |
| Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series | Apr 30, 2020 | Causal InferencePoint Processes | CodeCode Available | 0 |
| Cardinality-Regularized Hawkes-Granger Model | Aug 23, 2022 | Managementmodel | CodeCode Available | 0 |
| Statistical Inference for Networks of High-Dimensional Point Processes | Jul 15, 2020 | Point ProcessesVocal Bursts Intensity Prediction | CodeCode Available | 0 |
| Breaking hypothesis testing for failure rates | Jan 13, 2020 | Point ProcessesTwo-sample testing | CodeCode Available | 0 |
| Who Should I Engage with At What Time? A Missing Event Aware Temporal Graph Neural Network | Jan 20, 2023 | Graph Neural NetworkKnowledge Graphs | CodeCode Available | 0 |
| Better Highlighting: Creating Sub-Sentence Summary Highlights | Oct 20, 2020 | Point ProcessesSentence | CodeCode Available | 0 |
| Variance reduction in stochastic methods for large-scale regularised least-squares problems | Oct 15, 2021 | Point Processes | CodeCode Available | 0 |
| DPPy: Sampling DPPs with Python | Sep 19, 2018 | BIG-bench Machine LearningDiversity | CodeCode Available | 0 |
| Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain | Sep 29, 2023 | Computational EfficiencyPoint Processes | CodeCode Available | 0 |
| Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling | Mar 6, 2020 | DiversityPoint Processes | CodeCode Available | 0 |
| Learning Hawkes Processes from Short Doubly-Censored Event Sequences | Feb 22, 2017 | Point Processes | CodeCode Available | 0 |
| Learning Instance-Aware Object Detection Using Determinantal Point Processes | May 28, 2018 | Objectobject-detection | CodeCode Available | 0 |
| Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees | Jul 3, 2020 | Point Processesvalid | CodeCode Available | 0 |
| Diversity Networks: Neural Network Compression Using Determinantal Point Processes | Nov 16, 2015 | DiversityNeural Network Compression | CodeCode Available | 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 |
| Diversity-Aware Batch Active Learning for Dependency Parsing | Apr 28, 2021 | Active LearningDependency Parsing | CodeCode Available | 0 |
| Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes | Jan 29, 2022 | Decision MakingModel-based Reinforcement Learning | CodeCode Available | 0 |
| Efficient Inference in Multi-task Cox Process Models | May 24, 2018 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 |
| Retrieval of Temporal Event Sequences from Textual Descriptions | Oct 17, 2024 | Point ProcessesRetrieval | CodeCode Available | 0 |
| Deep Reinforcement Learning of Marked Temporal Point Processes | May 23, 2018 | Deep Reinforcement LearningMarketing | CodeCode Available | 0 |
| A Faster Sampler for Discrete Determinantal Point Processes | Oct 31, 2022 | Point Processes | CodeCode Available | 0 |
| Diverse Online Feature Selection | Jun 12, 2018 | Diversityfeature selection | CodeCode Available | 0 |
| Deep Random Splines for Point Process Intensity Estimation of Neural Population Data | Mar 6, 2019 | Dimensionality ReductionGaussian Processes | CodeCode Available | 0 |
| Entropic Trace Estimates for Log Determinants | Apr 24, 2017 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 |
