| No. |
Title |
Author |
Year |
| 1 |
Approximate Maximum Halfspace Discrepancy |
Matheny, Michael et al. |
2021 |
| 2 |
Computational Geometry (Dagstuhl Seminar 21181) |
Cheng, Siu-Wing et al. |
2021 |
| 3 |
Finding an Approximate Mode of a Kernel Density Estimate |
Lee, Jasper C.H. et al. |
2021 |
| 4 |
Sketched MinDist |
Phillips, Jeff M. et al. |
2020 |
| 5 |
The GaussianSketch for Almost Relative Error Kernel Distance |
Phillips, Jeff M. et al. |
2020 |
| 6 |
Independent Range Sampling, Revisited Again |
Afshani, Peyman et al. |
2019 |
| 7 |
The VC Dimension of Metric Balls Under Fréchet and Hausdorff Distances |
Driemel, Anne et al. |
2019 |
| 8 |
Approximating the Distribution of the Median and other Robust Estimators on Uncertain Data |
Buchin, Kevin et al. |
2018 |
| 9 |
Computing Approximate Statistical Discrepancy |
Matheny, Michael et al. |
2018 |
| 10 |
Near-Optimal Coresets of Kernel Density Estimates |
Phillips, Jeff M. et al. |
2018 |
| 11 |
Practical Low-Dimensional Halfspace Range Space Sampling |
Matheny, Michael et al. |
2018 |
| 12 |
epsilon-Kernel Coresets for Stochastic Points |
Huang, Lingxiao et al. |
2016 |
| 13 |
Geometric Inference on Kernel Density Estimates |
Phillips, Jeff M. et al. |
2015 |
