| FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels | Oct 10, 2022 | Computational EfficiencyPoint Processes | —Unverified | 0 |
| Discovering Latent Network Structure in Point Process Data | Feb 4, 2014 | Point Processes | —Unverified | 0 |
| Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning | Aug 1, 2013 | Document SummarizationInformation Retrieval | —Unverified | 0 |
| Fast determinantal point processes via distortion-free intermediate sampling | Nov 8, 2018 | Data SummarizationPoint Processes | —Unverified | 0 |
| Fast DPP Sampling for Nyström with Application to Kernel Methods | Mar 19, 2016 | Point Processesregression | —Unverified | 0 |
| Spatial-Temporal-Textual Point Processes for Crime Linkage Detection | Feb 1, 2019 | Point Processes | —Unverified | 0 |
| Cumulative Distribution Function based General Temporal Point Processes | Feb 1, 2024 | Information RetrievalPoint Processes | —Unverified | 0 |
| Fast Mixing for Discrete Point Processes | Jun 6, 2015 | Point Processes | —Unverified | 0 |
| Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling | Aug 2, 2016 | Point Processes | —Unverified | 0 |
| Fast parallel sampling under isoperimetry | Jan 17, 2024 | Point Processes | —Unverified | 0 |
| Fast Sampling for Strongly Rayleigh Measures with Application to Determinantal Point Processes | Jul 13, 2016 | Point Processes | —Unverified | 0 |
| Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Network | Jun 7, 2022 | AttributeGraph Neural Network | —Unverified | 0 |
| Federated Neural Nonparametric Point Processes | Oct 8, 2024 | Point Processes | —Unverified | 0 |
| Filtering through a topological lens: homology for point processes on the time-frequency plane | Apr 10, 2025 | Point ProcessesTopological Data Analysis | —Unverified | 0 |
| Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems | May 9, 2024 | Point Processes | —Unverified | 0 |
| Fixed-point algorithms for learning determinantal point processes | Aug 4, 2015 | Point Processes | —Unverified | 0 |
| Deep Fourier Kernel for Self-Attentive Point Processes | Feb 17, 2020 | Deep AttentionPoint Processes | —Unverified | 0 |
| Detecting Structural Shifts in Multivariate Hawkes Processes with Fréchet Statistics | Aug 13, 2023 | Change Point DetectionPoint Processes | —Unverified | 0 |
| Discovering Diverse and Salient Threads in Document Collections | Jul 1, 2012 | Information ThreadingPoint Processes | —Unverified | 0 |
| From MAP to Marginals: Variational Inference in Bayesian Submodular Models | Dec 1, 2014 | Point ProcessesVariational Inference | —Unverified | 0 |
| Deep Determinantal Point Processes | Nov 17, 2018 | DiversityPoint Processes | —Unverified | 0 |
| Gaussian Determinantal Processes: a new model for directionality in data | Nov 19, 2021 | Dimensionality ReductionPoint Processes | —Unverified | 0 |
| Better Approximate Inference for Partial Likelihood Models with a Latent Structure | Oct 22, 2019 | Point ProcessesSurvival Analysis | —Unverified | 0 |
| Gauss quadrature for matrix inverse forms with applications | Dec 7, 2015 | BIG-bench Machine LearningPoint Processes | —Unverified | 0 |
| Hardness of Maximum Likelihood Learning of DPPs | May 24, 2022 | graph constructionPoint Processes | —Unverified | 0 |