| Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes | Feb 16, 2016 | Open-Ended Question AnsweringPoint Processes | —Unverified | 0 |
| MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement | Jul 7, 2020 | Design SynthesisDiversity | —Unverified | 0 |
| Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations | Oct 24, 2019 | Document SummarizationExtractive Summarization | —Unverified | 0 |
| Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes | Jul 4, 2021 | Active LearningDiversity | —Unverified | 0 |
| Multiscale Sparse Microcanonical Models | Jan 6, 2018 | Gaussian ProcessesPoint Processes | —Unverified | 0 |
| Multi-Task Determinantal Point Processes for Recommendation | May 24, 2018 | DiversityGeneral Classification | —Unverified | 0 |
| Naturally Private Recommendations with Determinantal Point Processes | May 22, 2024 | DiversityPoint Processes | —Unverified | 0 |
| Near-Optimal MAP Inference for Determinantal Point Processes | Dec 1, 2012 | Document SummarizationImage Retrieval | —Unverified | 0 |
| Negative Dependence as a toolbox for machine learning : review and new developments | Feb 11, 2025 | Dimensionality ReductionPoint Processes | —Unverified | 0 |
| Network Estimation from Point Process Data | Feb 13, 2018 | Point Processes | —Unverified | 0 |
