Szymon Majewski
Szymon Majewski
Quantitative Researcher, G-Research
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Cited by
Cited by
Analysis of Langevin Monte Carlo via convex optimization
A Durmus, S Majewski, B Miasojedow
Journal of Machine Learning Research 20 (73), 1-46, 2019
Sliced-Wasserstein flows: Nonparametric generative modeling via optimal transport and diffusions
A Liutkus, U Simsekli, S Majewski, A Durmus, FR Stöter
International Conference on Machine Learning, 4104-4113, 2019
Analysis of nonsmooth stochastic approximation: the differential inclusion approach
S Majewski, B Miasojedow, E Moulines
arXiv preprint arXiv:1805.01916, 2018
Kernel stein discrepancy descent
A Korba, PC Aubin-Frankowski, S Majewski, P Ablin
International Conference on Machine Learning, 5719-5730, 2021
Minibatch optimal transport distances; analysis and applications
K Fatras, Y Zine, S Majewski, R Flamary, R Gribonval, N Courty
arXiv preprint arXiv:2101.01792, 2021
Adaptive Bayesian SLOPE: model selection with incomplete data
W Jiang, M Bogdan, J Josse, S Majewski, B Miasojedow, V Ročková, ...
Journal of Computational and Graphical Statistics 31 (1), 113-137, 2022
The wasserstein distance as a dissimilarity measure for mass spectra with application to spectral deconvolution
S Majewski, MA Ciach, M Startek, W Niemyska, B Miasojedow, A Gambin
18th International Workshop on Algorithms in Bioinformatics (WABI 2018), 2018
Masserstein: Linear regression of mass spectra by optimal transport
MA Ciach, B Miasojedow, G Skoraczyński, S Majewski, M Startek, ...
Rapid Communications in Mass Spectrometry, e8956, 2021
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study
T Huix, S Majewski, A Durmus, E Moulines, A Korba
arXiv preprint arXiv:2207.03859, 2022
Efficient reinforcement learning with Fleming-Viot particle systems: application to stochastic networks with rarely observed rewards
D Mastropietro, U Ayesta, M Jonckheere, S Majewski
Boosting reinforcement learning with sparse and rare rewards using Fleming-Viot particle systems
D Mastropietro, S Majewski, U Ayesta, M Jonckheere
15th European Workshop on Reinforcement Learning (EWRL 2022), 2022
Masserstein: robust linear deconvolution by optimal transport
M Ciach, B Miasojedow, G Skoraczyński, S Majewski, M Startek, ...
bioRxiv, 2020.06. 02.129858, 2020
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