Covering of High-Dimensional Cubes and Quantization. - Anatoly Zhigljavsky; Jack Noonan (Oper. Res. Forum, 2020)

Approximations for the boundary crossing probabilities of moving sums of normal random variables. - Jack Noonan; Anatoly Zhigljavsky (Commun. Stat. Simul. Comput., 2021)

Efficient Quantisation and Weak Covering of High Dimensional Cubes. - Jack Noonan; Anatoly Zhigljavsky (Discret. Comput. Geom., 2022)

Learning from data with structured missingness. - Robin Mitra; Sarah F. McGough; Tapabrata Chakraborti; Chris C. Holmes; Ryan Copping; Niels Hagenbuch; Stefanie Biedermann; Jack Noonan; Brieuc Lehmann; Aditi Shenvi; Xuan Vinh Doan; David Leslie; et al. (Nat. Mac. Intell., 2023)

Improving exploration strategies in large dimensions and rate of convergence of global random search algorithms. - Jack Noonan; Anatoly Zhigljavsky (J. Glob. Optim., 2024)