| Recovering Line-Networks in Images by Junction-Point Processes | Jun 1, 2013 | Point Processes | —Unverified | 0 | 0 |
| Recurrent Point Processes for Dynamic Review Models | Dec 9, 2019 | Point ProcessesRecommendation Systems | —Unverified | 0 | 0 |
| Regularized Submodular Maximization at Scale | Feb 10, 2020 | Data SummarizationDiversity | —Unverified | 0 | 0 |
| Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering | May 29, 2019 | ClusteringPoint Processes | —Unverified | 0 | 0 |
| Reinforcement Logic Rule Learning for Temporal Point Processes | Aug 11, 2023 | Point Processes | —Unverified | 0 | 0 |
| Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting | Dec 19, 2021 | Hyperedge PredictionPoint Processes | —Unverified | 0 | 0 |
| Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems | May 24, 2023 | DiversityPoint Processes | —Unverified | 0 | 0 |
| Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models | Dec 1, 2010 | Point ProcessesTime Series | —Unverified | 0 | 0 |
| Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing | Jul 13, 2023 | Point ProcessesRetrieval | —Unverified | 0 | 0 |
| RoTHP: Rotary Position Embedding-based Transformer Hawkes Process | May 11, 2024 | Point ProcessesPosition | —Unverified | 0 | 0 |
| RTB Formulation Using Point Process | Aug 17, 2023 | Point Processes | —Unverified | 0 | 0 |
| Sampling from a k-DPP without looking at all items | Jun 30, 2020 | Active LearningAll | —Unverified | 0 | 0 |
| Sampling from a k-DPP without looking at all items | Dec 1, 2020 | AllExperimental Design | —Unverified | 0 | 0 |
| Sampling from Probabilistic Submodular Models | Dec 1, 2015 | DiversityPoint Processes | —Unverified | 0 | 0 |
| Scalable Gaussian Processes on Discrete Domains | Oct 24, 2018 | Gaussian ProcessesPoint Processes | —Unverified | 0 | 0 |
| Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes | Oct 24, 2014 | Bayesian InferenceGaussian Processes | —Unverified | 0 | 0 |
| Scalable and adaptive variational Bayes methods for Hawkes processes | Dec 1, 2022 | Data AugmentationPoint Processes | —Unverified | 0 | 0 |
| Scattering Statistics of Generalized Spatial Poisson Point Processes | Feb 10, 2019 | Point Processes | —Unverified | 0 | 0 |
| Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification | Oct 25, 2023 | Point ProcessesUncertainty Quantification | —Unverified | 0 | 0 |
| Seeking for a fingerprint: analysis of point processes in actigraphy recording | Feb 26, 2016 | Point ProcessesTime Series | —Unverified | 0 | 0 |
| Selective linear segmentation for detecting relevant parameter changes | Feb 8, 2024 | Model SelectionPoint Processes | —Unverified | 0 | 0 |
| Self-Adaptable Point Processes with Nonparametric Time Decays | Dec 1, 2021 | Point Processes | —Unverified | 0 | 0 |
| Self-Modulating Nonparametric Event-Tensor Factorization | Jan 1, 2020 | Point ProcessesStochastic Optimization | —Unverified | 0 | 0 |
| Self-Supervised Contrastive Pre-Training for Multivariate Point Processes | Feb 1, 2024 | Point ProcessesRepresentation Learning | —Unverified | 0 | 0 |
| Semi-supervised Learning for Marked Temporal Point Processes | Jul 16, 2021 | DecoderPoint Processes | —Unverified | 0 | 0 |