| 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 | —Unverified | 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 |