End-to-End Optimization of High-Throughput DNA Sequencing. - Eliza O'Reilly; François Baccelli; Gustavo de Veciana; Haris Vikalo (J. Comput. Biol., 2016)

Reach of repulsion for determinantal point processes in high dimensions. - François Baccelli; Eliza O'Reilly (J. Appl. Probab., 2018)

Thin-shell concentration for zero cells of stationary Poisson mosaics. - Eliza O'Reilly (Adv. Appl. Math., 2020)

Stochastic geometry to generalize the Mondrian Process. - Eliza O'Reilly; Ngoc Tran (CoRR, 2020)

Couplings for determinantal point processes and their reduced Palm distributions with a view to quantifying repulsiveness. - Jesper Møller; Eliza O'Reilly (J. Appl. Probab., 2021)

Stochastic Geometry to Generalize the Mondrian Process. - Eliza O'Reilly; Ngoc Mai Tran (SIAM J. Math. Data Sci., 2022)

Spectrahedral Regression. - Eliza O'Reilly; Venkat Chandrasekaran (SIAM J. Optim., 2023)

The Star Geometry of Critic-Based Regularizer Learning. - Oscar Leong; Eliza O'Reilly; Yong Sheng Soh (NeurIPS, 2024)

Minimax Rates for High-Dimensional Random Tessellation Forests. - Eliza O'Reilly; Ngoc Mai Tran (J. Mach. Learn. Res., 2024)

The Uniformly Rotated Mondrian Kernel. - Calvin Osborne; Eliza O'Reilly (AISTATS, 2025)