Aleksei G. Sorokin

According to our database, Aleksei G. Sorokin authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

QMCPy: A Python Framework for (Quasi-)Monte Carlo Algorithms.

Aleksei G. Sorokin, Fred J. Hickernell, Sou-Cheng T. Choi, Rathinavel Jagadeeswaran, Pieterjan Robbe, Aadit Jain

J. Open Source Softw., January, 2026

2025

Algorithms and Scientific Software for Quasi-Monte Carlo, Fast Gaussian Process Regression, and Scientific Machine Learning.

Aleksei G. Sorokin

CoRR, November, 2025

Operator Learning at Machine Precision.

Aras Bacho, Aleksei G. Sorokin, Xianjin Yang, Théo Bourdais, Edoardo Calvello, Matthieu Darcy, Alexander Hsu, Bamdad Hosseini, Houman Owhadi

CoRR, November, 2025

Empirical Bernstein and betting confidence intervals for randomized quasi-Monte Carlo.

Aadit Jain, Fred J. Hickernell, Art B. Owen, Aleksei G. Sorokin

CoRR, April, 2025

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

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

CoRR, February, 2025

Fast Gaussian process regression for high dimensional functions with derivative information.

Aleksei G. Sorokin, Pieterjan Robbe, Fred J. Hickernell

Proceedings of the First International Conference on Probabilistic Numerics (ProbNum 2025), 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 Mac 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