Publications
For a complete list, see my
Google Scholar profile.
Preprints
Operatopes, operanoids, and noncommutative zonoids
Eliza O'Reilly, Venkat Chandrasekaran
Preprint, 2026
Optimal regularization under uncertainty: Distributional robustness and convexity constraints
Oscar Leong, Eliza O'Reilly, Yong Sheng Soh
Preprint, 2025
TrIM: Transformed iterative Mondrian forests for gradient-based dimension reduction and high-dimensional regression
Ricardo Baptista, Eliza O'Reilly, Yangxinyu Xie
Preprint, 2024
Statistical advantages of oblique randomized decision trees and forests
Eliza O'Reilly
Preprint, 2024
Journal Publications
Minimizing and quantifying uncertainty in ai-informed decisions: Applications in medicine
Samuel D Curtis, Sambit Panda, Adam Li, Haoyin Xu, Yuxin Bai, Itsuki Ogihara, Eliza O'Reilly, Yuxuan Wang, Lisa Dobbyn, Maria Popoli, et al.
Proceedings of the National Academy of Sciences, 122(34):e2424203122, 2025
Fragmentation signatures in cancer patients resemble those of patients with vascular or autoimmune diseases
Samuel D Curtis, Tingshan Liu, Yuxin Bai, Yuxuan Wang, Sambit Panda, Adam Li, Haoyin Xu, Eliza O'Reilly, Lisa Dobbyn, Maria Popoli, et al.
Proceedings of the National Academy of Sciences, 122(34):e2426890122, 2025
Aperiodicity and disorder as systematic spectral tuning mechanisms for plasmonic nanostructures
Ekin Gunes Ozaktas, Sreyas Chintapalli, Eliza O'Reilly, Susanna M Thon
Optics Express, 33(11):23227–23243, 2025
Optimal regularization for a data source
Oscar Leong, Eliza O'Reilly, Yong Sheng Soh, Venkat Chandrasekaran
Foundations of Computational Mathematics, 2025
The uniformly rotated Mondrian kernel
Calvin Osborne, Eliza O'Reilly
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
The star geometry of critic-based regularizer learning
Oscar Leong, Eliza O'Reilly, Yong Sheng Soh
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024
Minimax rates for high dimensional random tessellation forests
Eliza O'Reilly, Ngoc Mai Tran
Journal of Machine Learning Research, 25:1–32, 2024
Spectrahedral regression
Eliza O'Reilly, Venkat Chandrasekaran
SIAM Journal on Optimization, 33(2), 2023
Stochastic geometry to generalize the Mondrian process
Eliza O'Reilly, Ngoc Mai Tran
SIAM Journal on Mathematics of Data Science, 4(2):531–552, 2022
Facets of spherical random polytopes
Gilles Bonnet, Eliza O'Reilly
Mathematische Nachrichten, 295(10):1901–1933, 2022
Couplings for determinantal point processes and their reduced Palm distributions with a view to quantifying repulsiveness
Jesper Møller, Eliza O'Reilly
Journal of Applied Probability, 58(2), 2021
Thin-shell concentration for zero cells of stationary Poisson mosaics
Eliza O'Reilly
Advances in Applied Mathematics, 117, 2020
A stochastic geometry model for unconstrained one-bit data compression
François Baccelli, Eliza O'Reilly
Electronic Journal of Probability, 24(138), 2019
Reach of repulsion for determinantal point processes in high dimensions
François Baccelli, Eliza O'Reilly
Journal of Applied Probability, 55(3), September 2018
End-to-end optimization of high-throughput dna sequencing
Eliza O'Reilly, François Baccelli, Gustavo De Veciana, Haris Vikalo
Journal of Computational Biology, 23(10), 2016