| MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement | Jul 7, 2020 | Design SynthesisDiversity | —Unverified | 0 |
| Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees | Jul 3, 2020 | Point Processesvalid | CodeCode Available | 0 |
| Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization | Jul 2, 2020 | Point ProcessesSecond-order methods | —Unverified | 0 |
| 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 |
| 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 |
