| Stopping Methods for Technology Assisted Reviews based on Point Processes | Nov 14, 2023 | Point ProcessesTAR | CodeCode Available | 0 | 5 |
| Exact sampling of determinantal point processes with sublinear time preprocessing | May 31, 2019 | Point Processes | CodeCode Available | 0 | 5 |
| Faster Greedy MAP Inference for Determinantal Point Processes | Mar 9, 2017 | Point Processes | CodeCode Available | 0 | 5 |
| Entropic Trace Estimates for Log Determinants | Apr 24, 2017 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes | Jan 29, 2022 | Decision MakingModel-based Reinforcement Learning | CodeCode Available | 0 | 5 |
| Evaluating Uncertainty in Deep Gaussian Processes | Apr 24, 2025 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Fast Estimation of Causal Interactions using Wold Processes | Jul 12, 2018 | Point Processes | CodeCode Available | 0 | 5 |
| Determinantal thinning of point processes with network learning applications | Oct 9, 2018 | Point ProcessesScheduling | CodeCode Available | 0 | 5 |
| DPPy: Sampling DPPs with Python | Sep 19, 2018 | BIG-bench Machine LearningDiversity | CodeCode Available | 0 | 5 |
| Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series | Apr 30, 2020 | Causal InferencePoint Processes | CodeCode Available | 0 | 5 |
| Differentiable Adversarial Attacks for Marked Temporal Point Processes | Jan 17, 2025 | Adversarial AttackPoint Processes | CodeCode Available | 0 | 5 |
| A Faster Sampler for Discrete Determinantal Point Processes | Oct 31, 2022 | Point Processes | CodeCode Available | 0 | 5 |
| Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling | Mar 6, 2020 | DiversityPoint Processes | CodeCode Available | 0 | 5 |
| Exact Bayesian Gaussian Cox Processes Using Random Integral | Jun 28, 2024 | Data AugmentationPoint Processes | CodeCode Available | 0 | 5 |
| Efficient Inference in Multi-task Cox Process Models | May 24, 2018 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| Determinantal point processes for machine learning | Jul 25, 2012 | BIG-bench Machine LearningPoint Processes | CodeCode Available | 0 | 5 |
| Determinantal Point Processes for Coresets | Mar 23, 2018 | Point Processesregression | CodeCode Available | 0 | 5 |
| Active Mini-Batch Sampling using Repulsive Point Processes | Apr 8, 2018 | Point Processes | CodeCode Available | 0 | 5 |
| Diversity-Aware Batch Active Learning for Dependency Parsing | Apr 28, 2021 | Active LearningDependency Parsing | CodeCode Available | 0 | 5 |
| Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes | Dec 5, 2022 | Computational EfficiencyGraph Representation Learning | CodeCode Available | 0 | 5 |
| SimHawNet: A Modified Hawkes Process for Temporal Network Simulation | Mar 14, 2022 | BIG-bench Machine LearningLink Prediction | CodeCode Available | 0 | 5 |
| Bayesian experimental design using regularized determinantal point processes | Jun 10, 2019 | Experimental DesignPoint Processes | CodeCode Available | 0 | 5 |
| Diverse Online Feature Selection | Jun 12, 2018 | Diversityfeature selection | CodeCode Available | 0 | 5 |
| Breaking hypothesis testing for failure rates | Jan 13, 2020 | Point ProcessesTwo-sample testing | CodeCode Available | 0 | 5 |
| Diversity Networks: Neural Network Compression Using Determinantal Point Processes | Nov 16, 2015 | DiversityNeural Network Compression | CodeCode Available | 0 | 5 |
