| Couplings for determinantal point processes and their reduced Palm distributions with a view to quantifying repulsiveness J Møller, E O’Reilly Journal of Applied Probability 58 (2), 469-483, 2021 | 12 | 2021 |
| Stochastic geometry to generalize the Mondrian process E O'Reilly, NM Tran SIAM Journal on Mathematics of Data Science 4 (2), 531-552, 2022 | 6 | 2022 |
| Facets of spherical random polytopes G Bonnet, E O'Reilly Mathematische Nachrichten 295 (10), 1901-1933, 2022 | 5 | 2022 |
| Thin-shell concentration for zero cells of stationary Poisson mosaics E O'Reilly Advances in Applied Mathematics 117, 102017, 2020 | 5 | 2020 |
| The stochastic geometry of unconstrained one-bit data compression F Baccelli, E O'Reilly Electronic Journal of Probability 24, 1-27, 2019 | 5 | 2019 |
| End-to-end optimization of high-throughput DNA sequencing E O'Reilly, F Baccelli, G De Veciana, H Vikalo Journal of Computational Biology 23 (10), 789-800, 2016 | 5 | 2016 |
| Spectrahedral regression E O’Reilly, V Chandrasekaran SIAM Journal on Optimization 33 (2), 553-588, 2023 | 4 | 2023 |
| Stochastic geometry to generalize the Mondrian process E O'Reilly, N Tran arXiv preprint arXiv:2002.00797, 2020 | 4 | 2020 |
| Reach of repulsion for determinantal point processes in high dimensions F Baccelli, E O'Reilly Journal of Applied Probability 55 (3), 760-788, 2018 | 4 | 2018 |
| Minimax rates for high-dimensional random tessellation forests E O'Reilly, NM Tran Journal of Machine Learning Research 25 (89), 1-32, 2024 | 3 | 2024 |
| Optimal regularization for a data source O Leong, E O'Reilly, YS Soh, V Chandrasekaran arXiv preprint arXiv:2212.13597, 2022 | 1 | 2022 |
| Repulsion of determinantal point processes and stationary Poisson tessellations in high dimensions EW O'Reilly | | 2019 |
| Learning Convex Regularizers E O'Reilly 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |
| Data-Driven Random Tessellation Forests E O'Reilly 2023 Joint Mathematics Meetings (JMM 2023), 0 | | |
