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| Kernel Mean Embedding Based Hypothesis Tests for Comparing Spatial Point Patterns | May 31, 2019 | Point ProcessesTwo-sample testing | —Unverified | 0 |
| Language-TPP: Integrating Temporal Point Processes with Language Models for Event Analysis | Feb 11, 2025 | Point ProcessesType prediction | —Unverified | 0 |
| Large-Margin Determinantal Point Processes | Nov 6, 2014 | Diversityparameter estimation | —Unverified | 0 |
| Latent Network Structure Learning from High Dimensional Multivariate Point Processes | Apr 7, 2020 | Functional ConnectivityPoint Processes | —Unverified | 0 |
| LazyPPL: laziness and types in non-parametric probabilistic programs | Oct 8, 2021 | ClusteringGaussian Processes | —Unverified | 0 |
| Learn2Extend: Extending sequences by retaining their statistical properties with mixture models | Dec 3, 2023 | Point Processes | —Unverified | 0 |
| Learning Determinantal Point Processes by Corrective Negative Sampling | Feb 15, 2018 | DiversityLanguage Modeling | —Unverified | 0 |
| Learning Determinantal Point Processes in Sublinear Time | Oct 19, 2016 | Document SummarizationPoint Processes | —Unverified | 0 |
| Learning Determinantal Point Processes with Moments and Cycles | Aug 1, 2017 | Point Processes | —Unverified | 0 |
| Learning Diverse Generations using Determinantal Point Processes | May 1, 2019 | DiversityPoint Processes | —Unverified | 0 |
| Learning from DPPs via Sampling: Beyond HKPV and symmetry | Jul 8, 2020 | feature selectionPoint Processes | —Unverified | 0 |
| Learning k-Determinantal Point Processes for Personalized Ranking | Jun 23, 2024 | DiversityPoint Processes | —Unverified | 0 |
| Learning mixture of neural temporal point processes for event sequence clustering | Sep 29, 2021 | ClusteringPoint Processes | —Unverified | 0 |
| Learning Multivariate Hawkes Processes at Scale | Feb 28, 2020 | Point Processes | —Unverified | 0 |
| Learning Neural Models for Continuous-Time Sequences | Nov 13, 2021 | Point Processes | —Unverified | 0 |
| Learning Point Processes using Recurrent Graph Network | Aug 11, 2022 | Graph AttentionPoint Processes | —Unverified | 0 |
| Learning Positive Functions with Pseudo Mirror Descent | Dec 1, 2019 | Computational EfficiencyPoint Processes | —Unverified | 0 |
| Learning Registered Point Processes from Idiosyncratic Observations | Oct 3, 2017 | Point Processes | —Unverified | 0 |
| Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem | Dec 1, 2018 | Point Processes | —Unverified | 0 |
| Learning Structure-enhanced Temporal Point Processes with Gromov-Wasserstein Regularization | Mar 29, 2025 | ClusteringPoint Processes | —Unverified | 0 |
| Learning Temporal Point Processes via Reinforcement Learning | Nov 12, 2018 | Point Processesreinforcement-learning | —Unverified | 0 |
| Learning the Parameters of Determinantal Point Process Kernels | Feb 20, 2014 | DiversityPoint Processes | —Unverified | 0 |
| Learning to Select Exogenous Events for Marked Temporal Point Process | Dec 1, 2021 | parameter estimationPoint Processes | —Unverified | 0 |
| Leveraged volume sampling for linear regression | Feb 19, 2018 | Point Processesregression | —Unverified | 0 |