| Analysis of Langevin Monte Carlo via convex optimization A Durmus, S Majewski, B Miasojedow Journal of Machine Learning Research 20 (73), 1-46, 2019 | 243 | 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 | 147 | 2019 |
| Analysis of nonsmooth stochastic approximation: the differential inclusion approach S Majewski, B Miasojedow, E Moulines arXiv preprint arXiv:1805.01916, 2018 | 55 | 2018 |
| Kernel stein discrepancy descent A Korba, PC Aubin-Frankowski, S Majewski, P Ablin International Conference on Machine Learning, 5719-5730, 2021 | 48 | 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 | 44 | 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 | 23 | 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 | 19 | 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, 2020 | 12 | 2020 |
| 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 | 2 | 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| Masserstein: robust linear deconvolution by optimal transport M Ciach, B Miasojedow, G Skoraczyński, S Majewski, M Startek, ... bioRxiv, 2020.06. 02.129858, 2020 | | 2020 |
Blazej MiasojedowUniversity of WarsawVerified email at mimuw.edu.pl
