| Sampling from a k-DPP without looking at all items | Jun 30, 2020 | Active LearningAll | —Unverified | 0 |
| On the Relationship Between Probabilistic Circuits and Determinantal Point Processes | Jun 26, 2020 | Point Processes | —Unverified | 0 |
| Spatio-temporal Sequence Prediction with Point Processes and Self-organizing Decision Trees | Jun 25, 2020 | Point ProcessesPrediction | —Unverified | 0 |
| Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes | Jun 24, 2020 | DiversityPoint Processes | —Unverified | 0 |
| Fast and Flexible Temporal Point Processes with Triangular Maps | Jun 22, 2020 | Point ProcessesVariational Inference | CodeCode Available | 1 |
| Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes | Jun 17, 2020 | Point Processes | CodeCode Available | 1 |
| Goodness-of-Fit Test for Mismatched Self-Exciting Processes | Jun 16, 2020 | Point Processes | —Unverified | 0 |
| Coverage probability in wireless networks with determinantal scheduling | Jun 9, 2020 | Point ProcessesScheduling | CodeCode Available | 0 |
| Shallow Neural Hawkes: Non-parametric kernel estimation for Hawkes processes | Jun 3, 2020 | Point Processes | —Unverified | 0 |
| METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design | Jun 1, 2020 | Physical SimulationsPoint Processes | CodeCode Available | 1 |
| Detecting discrete processes with the Epps effect | May 21, 2020 | Point Processes | CodeCode Available | 0 |
| Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling | May 15, 2020 | Point Processes | —Unverified | 0 |
| Determinantal Point Processes in Randomized Numerical Linear Algebra | May 7, 2020 | Point Processes | —Unverified | 0 |
| A Metric Space for Point Process Excitations | May 5, 2020 | Point Processes | —Unverified | 0 |
| Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities | May 1, 2020 | Collaborative FilteringPoint Processes | —Unverified | 0 |
| Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient | May 1, 2020 | Deep LearningDiversity | —Unverified | 0 |
| Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series | Apr 30, 2020 | Causal InferencePoint Processes | CodeCode Available | 0 |
| Downlink Coverage and Rate Analysis of Low Earth Orbit Satellite Constellations Using Stochastic Geometry | Apr 28, 2020 | Point Processes | —Unverified | 0 |
| Optimum Location-Based Relay Selection in Wireless Networks | Apr 23, 2020 | Point Processes | —Unverified | 0 |
| Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots | Apr 15, 2020 | Bayesian OptimizationPoint Processes | CodeCode Available | 1 |
| Latent Network Structure Learning from High Dimensional Multivariate Point Processes | Apr 7, 2020 | Functional ConnectivityPoint Processes | —Unverified | 0 |
| Probabilistic Caching for Small-Cell Networks with Terrestrial and Aerial Users | Mar 30, 2020 | Point Processes | —Unverified | 0 |
| Convex Parameter Recovery for Interacting Marked Processes | Mar 29, 2020 | parameter estimationPoint Processes | —Unverified | 0 |
| Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions | Mar 16, 2020 | Point ProcessesTime Series | —Unverified | 0 |
| Modeling of Spatio-Temporal Hawkes Processes with Randomized Kernels | Mar 7, 2020 | Crime PredictionPoint Processes | —Unverified | 0 |
| Prediction with Spatio-temporal Point Processes with Self Organizing Decision Trees | Mar 7, 2020 | Point ProcessesTime Series | —Unverified | 0 |
| Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling | Mar 6, 2020 | DiversityPoint Processes | CodeCode Available | 0 |
| Learning Multivariate Hawkes Processes at Scale | Feb 28, 2020 | Point Processes | —Unverified | 0 |
| PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs | Feb 26, 2020 | Design SynthesisDiversity | CodeCode Available | 1 |
| Kernel interpolation with continuous volume sampling | Feb 22, 2020 | Density EstimationPoint Processes | —Unverified | 0 |
| Transformer Hawkes Process | Feb 21, 2020 | Computational EfficiencyPoint Processes | CodeCode Available | 1 |
| Deep Sigma Point Processes | Feb 21, 2020 | Gaussian ProcessesPoint Processes | —Unverified | 0 |
| Diversity sampling is an implicit regularization for kernel methods | Feb 20, 2020 | DiversityPoint Processes | —Unverified | 0 |
| Deep Fourier Kernel for Self-Attentive Point Processes | Feb 17, 2020 | Deep AttentionPoint Processes | —Unverified | 0 |
| Regularized Submodular Maximization at Scale | Feb 10, 2020 | Data SummarizationDiversity | —Unverified | 0 |
| Effective Diversity in Population Based Reinforcement Learning | Feb 3, 2020 | DiversityPoint Processes | CodeCode Available | 1 |
| Marked point processes and intensity ratios for limit order book modeling | Jan 23, 2020 | ClusteringModel Selection | —Unverified | 0 |
| Breaking hypothesis testing for failure rates | Jan 13, 2020 | Point ProcessesTwo-sample testing | CodeCode Available | 0 |
| Temporal Logic Point Processes | Jan 1, 2020 | Point Processes | —Unverified | 0 |
| Self-Modulating Nonparametric Event-Tensor Factorization | Jan 1, 2020 | Point ProcessesStochastic Optimization | —Unverified | 0 |
| On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes | Jan 1, 2020 | Open-Ended Question AnsweringPoint Processes | —Unverified | 0 |
| Event Outlier Detection in Continuous Time | Dec 19, 2019 | Outlier DetectionPoint Processes | CodeCode Available | 0 |
| Adaptive Granularity in Tensors: A Quest for Interpretable Structure | Dec 19, 2019 | Point ProcessesTensor Decomposition | —Unverified | 0 |
| Recurrent Point Processes for Dynamic Review Models | Dec 9, 2019 | Point ProcessesRecommendation Systems | —Unverified | 0 |
| MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records | Dec 8, 2019 | AttributePoint Processes | CodeCode Available | 0 |
| On two ways to use determinantal point processes for Monte Carlo integration | Dec 1, 2019 | Numerical IntegrationPoint Processes | CodeCode Available | 0 |
| Thinning for Accelerating the Learning of Point Processes | Dec 1, 2019 | Point ProcessesStochastic Optimization | —Unverified | 0 |
| Mutually Regressive Point Processes | Dec 1, 2019 | Bayesian InferencePoint Processes | CodeCode Available | 0 |
| Learning Positive Functions with Pseudo Mirror Descent | Dec 1, 2019 | Computational EfficiencyPoint Processes | —Unverified | 0 |
| Nonparametric Regressive Point Processes Based on Conditional Gaussian Processes | Dec 1, 2019 | Gaussian ProcessesPoint Processes | —Unverified | 0 |