Bogdan Grechuk

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 23

Top Topics

Distribution Function

Regression Analysis

Top Venues

Eur. J. Oper. Res.

Publications

Bogdan Grechuk, Michael Zabarankin, Alexander Mafusalov, Stan Uryasev
Buffered and Reduced Multidimensional Distribution Functions and Their Application in Optimization. Optim. Lett. 18 (2) (2024)
Bogdan Grechuk
Extended gradient of convex function and capital allocation. Eur. J. Oper. Res. 305 (1) (2023)
Bogdan Grechuk
On the smallest open Diophantine equations. SIGACT News 53 (1) (2022)
Bogdan Grechuk, Dawei Hao
Individual and cooperative portfolio optimization as linear program. Optim. Lett. 16 (9) (2022)
Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes, Sergey V. Stasenko, Ivan Yu. Tyukin
High-dimensional separability for one- and few-shot learning. CoRR (2021)
Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes, Sergey V. Stasenko, Ivan Yu. Tyukin
High-Dimensional Separability for One- and Few-Shot Learning. Entropy 23 (8) (2021)
Bogdan Grechuk, Alexander N. Gorban, Ivan Yu. Tyukin
General stochastic separation theorems with optimal bounds. Neural Networks 138 (2021)
Michael Zabarankin, Bogdan Grechuk
Matrix Difference Equations in Applied Mathematics. SIAM J. Appl. Math. 80 (2) (2020)
Bogdan Grechuk, Sittichoke Som-Am
A Convex Cover for Closed Unit Curves has Area at Least 0.0975. Int. J. Comput. Geom. Appl. 30 (2) (2020)
Bogdan Grechuk, Sittichoke Som-Am
A convex cover for closed unit curves has area at least 0.1. Discret. Optim. 38 (2020)
Bogdan Grechuk, Alexander N. Gorban, Ivan Yu. Tyukin
General stochastic separation theorems with optimal bounds. CoRR (2020)
Bogdan Grechuk
Practical stochastic separation theorems for product distributions. IJCNN (2019)
Bogdan Grechuk, Michael Zabarankin
Regression analysis: likelihood, error and entropy. Math. Program. 174 (1-2) (2019)
Ivan Yu. Tyukin, Alexander N. Gorban, Bogdan Grechuk, Stephen Green
Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel Classifiers. IJCNN (2019)
Bogdan Grechuk, Sittichoke Som-Am
A convex cover for closed unit curves has area at least 0.0975. CoRR (2019)
Alexander N. Gorban, A. Golubkov, Bogdan Grechuk, Eugenij Moiseevich Mirkes, Ivan Tyukin
Correction of AI systems by linear discriminants: Probabilistic foundations. Inf. Sci. 466 (2018)
Alexander N. Gorban, A. Golubkov, Bogdan Grechuk, Evgeny M. Mirkes, Ivan Yu. Tyukin
Correction of AI systems by linear discriminants: Probabilistic foundations. CoRR (2018)
Bogdan Grechuk, Michael Zabarankin
Direct data-based decision making under uncertainty. Eur. J. Oper. Res. 267 (1) (2018)
Alexander N. Gorban, Bogdan Grechuk, Ivan Yu. Tyukin
Augmented Artificial Intelligence: a Conceptual Framework. CoRR (2018)
Bogdan Grechuk, Michael Zabarankin
Sensitivity Analysis in Applications with Deviation, Risk, Regret, and Error Measures. SIAM J. Optim. 27 (4) (2017)
Michael Zabarankin, Bogdan Grechuk
Forward and Inverse Problems in Two-Phase Fluid Dynamics. SIAM J. Control. Optim. 55 (6) (2017)
Bogdan Grechuk, Michael Zabarankin
Synergy effect of cooperative investment. Ann. Oper. Res. 249 (1-2) (2017)
Bogdan Grechuk, Michael Zabarankin
Inverse portfolio problem with coherent risk measures. Eur. J. Oper. Res. 249 (2) (2016)
Bogdan Grechuk
The center of a convex set and capital allocation. Eur. J. Oper. Res. 243 (2) (2015)
Bogdan Grechuk, Michael Zabarankin
Risk averse decision making under catastrophic risk. Eur. J. Oper. Res. 239 (1) (2014)
Bogdan Grechuk, Michael Zabarankin
Inverse portfolio problem with mean-deviation model. Eur. J. Oper. Res. 234 (2) (2014)
Bogdan Grechuk
A simple SSD-efficiency test. Optim. Lett. 8 (7) (2014)
Bogdan Grechuk, Michael Zabarankin
Optimal risk sharing with general deviation measures. Ann. Oper. Res. 200 (1) (2012)
Bogdan Grechuk
Lower Semicontinuous Functions. Arch. Formal Proofs 2011 (2011)
Bogdan Grechuk, Anton Molyboha, Michael Zabarankin
Maximum Entropy Principle with General Deviation Measures. Math. Oper. Res. 34 (2) (2009)