Aleksei G. Sorokin

According to our database, Aleksei G. Sorokin authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Quasi-Monte Carlo Methods: What, Why, and How?

Fred J. Hickernell, Nathan Kirk, Aleksei G. Sorokin

CoRR, February, 2025

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

On Bounding and Approximating Functions of Multiple Expectations using Quasi-Monte Carlo.

Aleksei G. Sorokin, Rathinavel Jagadeeswaran

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

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

2020

Quasi-Monte Carlo Software.

Sou-Cheng T. Choi, Fred J. Hickernell, Rathinavel Jagadeeswaran, Michael J. McCourt, Aleksei G. Sorokin

Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2020