activity
20092022
most citedNon-asymptotic Analysis of Biased Stochastic Approximation Scheme

26 citations · 60 across the 10 of their papers we have counts for

collaborators

14 papers

math.AP20223 cited

Absence of Lavrentiev's gap for anisotropic functionals

Michał Borowski, Iwona Chlebicka, Błażej Miasojedow

We establish the absence of the Lavrentiev gap between Sobolev and smooth maps for a non-autonomous variational problem of a general structure, where the integrand is assumed to be…

astro-ph.HE202118 cited

Predicting the redshift of gamma-ray loud AGNs using supervised machine learning

Maria Giovanna Dainotti, Malgorzata Bogdan, Aditya Narendra +8

AGNs are very powerful galaxies characterized by extremely bright emissions coming out from their central massive black holes. Knowing the redshifts of AGNs provides us with an opp…

math.NA2021

Convergence of the EBT method for a non-local model of cell proliferation with discontinuous interaction kernel

Piotr Gwiazda, Błażej Miasojedow, Jakub Skrzeczkowski +1

We consider the EBT algorithm (a particle method) for the non-local equation with a discontinuous interaction kernel. The main difficulty lies in the low regularity of the kernel w…

stat.ML2020

Structure learning for CTBN's via penalized maximum likelihood methods

Maryia Shpak, Błażej Miasojedow, Wojciech Rejchel

The continuous-time Bayesian networks (CTBNs) represent a class of stochastic processes, which can be used to model complex phenomena, for instance, they can describe interactions…

stat.ME2019

Adaptive Bayesian SLOPE -- High-dimensional Model Selection with Missing Values

Wei Jiang, Malgorzata Bogdan, Julie Josse +3

We consider the problem of variable selection in high-dimensional settings with missing observations among the covariates. To address this relatively understudied problem, we propo…

astro-ph.HE20195 cited

Gamma-ray Bursts as distance indicators through a machine learning approach

Maria Dainotti, Vahé Petrosian, Malgorzata Bogdan +7

Gamma-ray bursts (GRBs) are spectacularly energetic events, with the potential to inform on the early universe and its evolution, once their redshifts are known. Unfortunately, det…