Jakub Mareček

About Jakub Mareček

Jakub Mareček, With an exceptional h-index of 18 and a recent h-index of 15 (since 2020), a distinguished researcher at Ceské vysoké ucení technické v Praze, specializes in the field of Semidefinite Programming, Mixed Integer Programming, Mathematical Optimization, Operations Research.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fairness in AI: challenges in bridging the gap between algorithms and law

Robust Quantum Gate Complexity: Foundations

Iteration complexity of variational quantum algorithms

Fairness in Ranking: Robustness through Randomization without the Protected Attribute

Spectral Methods for Quantum Optimal Control: Artificial Boundary Conditions

Taming binarized neural networks and mixed-integer programs

Learning quantum Hamiltonians at any temperature in polynomial time with Chebyshev and bit complexity

Truss topology design under harmonic loads: Peak power minimization with semidefinite programming

Jakub Mareček Information

University

Position

___

Citations(all)

2751

Citations(since 2020)

1963

Cited By

1044

hIndex(all)

18

hIndex(since 2020)

15

i10Index(all)

31

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Jakub Mareček Skills & Research Interests

Semidefinite Programming

Mixed Integer Programming

Mathematical Optimization

Operations Research

Top articles of Jakub Mareček

Fairness in AI: challenges in bridging the gap between algorithms and law

arXiv preprint arXiv:2404.19371

2024/4/30

Robust Quantum Gate Complexity: Foundations

arXiv preprint arXiv:2404.15828

2024/4/24

Iteration complexity of variational quantum algorithms

arXiv preprint arXiv:2209.10615

2022/9/21

Fairness in Ranking: Robustness through Randomization without the Protected Attribute

arXiv preprint arXiv:2403.19419

2024/3/28

Spectral Methods for Quantum Optimal Control: Artificial Boundary Conditions

arXiv preprint arXiv:2403.14436

2024/3/21

Taming binarized neural networks and mixed-integer programs

2024/2/21

Learning quantum Hamiltonians at any temperature in polynomial time with Chebyshev and bit complexity

arXiv preprint arXiv:2310.02243

2023/10/3

Truss topology design under harmonic loads: Peak power minimization with semidefinite programming

arXiv preprint arXiv:2401.16175

2024/1/29

The Effects of Transmission-Rights Pricing on Multi-Stage Electricity Markets

arXiv preprint arXiv:2401.15772

2024/1/28

Generating Likely Counterfactuals Using Sum-Product Networks

arXiv preprint arXiv:2401.14086

2024/1/25

Trilevel and multilevel optimization using monotone operator theory

Mathematical Methods of Operations Research

2024/2/28

Parametric semidefinite programming: Geometry of the trajectory of solutions

Mathematics of OR, accepted; arXiv preprint arXiv:2104.05445

2024

A globally convergent approach for quantum control and system identification

APS March Meeting Abstracts

2023

Statistical static timing analysis via modern optimization lens: I. Histogram-based approach

Optimization and Engineering, to appear, arXiv preprint arXiv:2211.02981

2023

Predictability and Fairness in Load Aggregation and Operations of Virtual Power Plants

Automatica

2023/1/1

Scheduling a Multi-Product Pipeline: A Discretized MILP Formulation

arXiv preprint arXiv:2312.11381

2023/12/18

Quantum optimization: Potential, challenges, and the path forward

arXiv preprint arXiv:2312.02279

2023/12/4

Fleming-Viot helps speed up variational quantum algorithms in the presence of barren plateaus

arXiv preprint arXiv:2311.18090

2023/11/29

Piecewise polynomial regression of tame functions via integer programming

arXiv preprint arXiv:2311.13544

2023/11/22

Joint Problems in Learning Multiple Dynamical Systems

arXiv preprint arXiv:2311.02181

2023/11/3

See List of Professors in Jakub Mareček University(Ceské vysoké ucení technické v Praze)

Co-Authors

academic-engine