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| Efficient Inference in Multi-task Cox Process Models | May 24, 2018 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks | May 19, 2022 | Point Processes | CodeCode Available | 0 | 5 |
| Entropic Trace Estimates for Log Determinants | Apr 24, 2017 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
| DPPy: Sampling DPPs with Python | Sep 19, 2018 | BIG-bench Machine LearningDiversity | CodeCode Available | 0 | 5 |
| A Review of Network Inference Techniques for Neural Activation Time Series | Jun 20, 2018 | Point ProcessesTime Series | CodeCode Available | 0 | 5 |
| Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling | Mar 6, 2020 | DiversityPoint Processes | CodeCode Available | 0 | 5 |
| Diversity Networks: Neural Network Compression Using Determinantal Point Processes | Nov 16, 2015 | DiversityNeural Network Compression | CodeCode Available | 0 | 5 |
| Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data | Aug 18, 2022 | Point Processes | CodeCode Available | 0 | 5 |
| Adaptive Sampling for Stochastic Risk-Averse Learning | Oct 28, 2019 | Point Processes | CodeCode Available | 0 | 5 |
