Quasi-Monte Carlo Software. - Sou-Cheng T. Choi; Fred J. Hickernell; Rathinavel Jagadeeswaran; Michael J. McCourt; Aleksei G. Sorokin (MCQMC, 2020)

Computationally Efficient and Error Aware Surrogate Construction for Numerical Solutions of Subsurface Flow Through Porous Media. - Aleksei G. Sorokin; Aleksandra Pachalieva; Daniel O'Malley; James M. Hyman; Fred J. Hickernell; Nicolas W. Hengartner (CoRR, 2023)

Challenges in Developing Great Quasi-Monte Carlo Software. - Sou-Cheng T. Choi; Yuhan Ding; Fred J. Hickernell; Rathinavel Jagadeeswaran; Aleksei G. Sorokin (CoRR, 2023)

On Bounding and Approximating Functions of Multiple Expectations using Quasi-Monte Carlo. - Aleksei G. Sorokin; Rathinavel Jagadeeswaran (CoRR, 2023)

SigOpt Mulch: An intelligent system for AutoML of gradient boosted trees. - Aleksei G. Sorokin; Xinran Zhu; Eric Hans Lee; Bolong Cheng (Knowl. Based Syst., 2023)

Quasi-Monte Carlo Methods: What, Why, and How? - Fred J. Hickernell; Nathan Kirk; Aleksei G. Sorokin (CoRR, 2025)

Empirical Bernstein and betting confidence intervals for randomized quasi-Monte Carlo. - Aadit Jain; Fred J. Hickernell; Art B. Owen; Aleksei G. Sorokin (CoRR, 2025)