Aleksei G. Sorokin

13 papers Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
QMCPy: A Python Framework for (Quasi-)Monte Carlo Algorithms.
J. Open Source Softw.
Aleksei G. Sorokin, Fred J. Hickernell, Sou-Cheng T. Choi, Rathinavel Jagadeeswaran, Pieterjan Robbe, Aadit Jain
2025 J jnl
Algorithms and Scientific Software for Quasi-Monte Carlo, Fast Gaussian Process Regression, and Scientific Machine Learning.
CoRR
Aleksei G. Sorokin
2025 J jnl
Empirical Bernstein and betting confidence intervals for randomized quasi-Monte Carlo.
CoRR
Aadit Jain, Fred J. Hickernell, Art B. Owen, Aleksei G. Sorokin
2025 — conf
Fast Gaussian process regression for high dimensional functions with derivative information.
ProbNum
Aleksei G. Sorokin, Pieterjan Robbe, Fred J. Hickernell
2025 J jnl
Operator Learning at Machine Precision.
CoRR
Aras Bacho, Aleksei G. Sorokin, Xianjin Yang, Théo Bourdais, Edoardo Calvello, Matthieu Darcy, Alexander Hsu, Bamdad Hosseini, Houman Owhadi
2025 J jnl
Quasi-Monte Carlo Methods: What, Why, and How?
CoRR
Fred J. Hickernell, Nathan Kirk, Aleksei G. Sorokin
2023 J jnl
Challenges in Developing Great Quasi-Monte Carlo Software.
CoRR
Sou-Cheng T. Choi, Yuhan Ding, Fred J. Hickernell, Rathinavel Jagadeeswaran, Aleksei G. Sorokin
2023 J jnl
Computationally Efficient and Error Aware Surrogate Construction for Numerical Solutions of Subsurface Flow Through Porous Media.
CoRR
Aleksei G. Sorokin, Aleksandra Pachalieva, Daniel O'Malley, James Mac Hyman, Fred J. Hickernell, Nicolas W. Hengartner
2023 J jnl
On Bounding and Approximating Functions of Multiple Expectations using Quasi-Monte Carlo.
CoRR
Aleksei G. Sorokin, Rathinavel Jagadeeswaran
2023 J jnl
SigOpt Mulch: An Intelligent System for AutoML of Gradient Boosted Trees.
CoRR
Aleksei G. Sorokin, Xinran Zhu, Eric Hans Lee, Bolong Cheng
2023 J jnl
SigOpt Mulch: An intelligent system for AutoML of gradient boosted trees.
Knowl. Based Syst.
Aleksei G. Sorokin, Xinran Zhu, Eric Hans Lee, Bolong Cheng
2021 J jnl
Quasi-Monte Carlo Software.
CoRR
Sou-Cheng T. Choi, Fred J. Hickernell, R. Jagadeeswaran, Michael J. McCourt, Aleksei G. Sorokin
2020 — conf
Quasi-Monte Carlo Software.
MCQMC
Sou-Cheng T. Choi, Fred J. Hickernell, Rathinavel Jagadeeswaran, Michael J. McCourt, Aleksei G. Sorokin