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Journal Articles
- 2022
[j2]Wei Jiang
, Malgorzata Bogdan, Julie Josse, Szymon Majewski, Blazej Miasojedow, Veronika Rocková:
Adaptive Bayesian SLOPE: Model Selection With Incomplete Data. J. Comput. Graph. Stat. 31(1): 113-137 (2022)- 2019
- [j1]Alain Durmus, Szymon Majewski, Blazej Miasojedow:
Analysis of Langevin Monte Carlo via Convex Optimization. J. Mach. Learn. Res. 20: 73:1-73:46 (2019)
Conference and Workshop Papers
- 2021
- [c3]Anna Korba, Pierre-Cyril Aubin-Frankowski, Szymon Majewski, Pierre Ablin:
Kernel Stein Discrepancy Descent. ICML 2021: 5719-5730 - 2019
- [c2]Antoine Liutkus, Umut Simsekli, Szymon Majewski, Alain Durmus, Fabian-Robert Stöter:
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions. ICML 2019: 4104-4113 - 2018
- [c1]Szymon Majewski, Michal Aleksander Ciach, Michal Startek, Wanda Niemyska, Blazej Miasojedow, Anna Gambin:
The Wasserstein Distance as a Dissimilarity Measure for Mass Spectra with Application to Spectral Deconvolution. WABI 2018: 25:1-25:21
Informal and Other Publications
- 2022
- [i4]Tom Huix, Szymon Majewski, Alain Durmus, Eric Moulines, Anna Korba:
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study. CoRR abs/2207.03859 (2022) - 2021
- [i3]Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty:
Minibatch optimal transport distances; analysis and applications. CoRR abs/2101.01792 (2021) - [i2]Anna Korba, Pierre-Cyril Aubin-Frankowski, Szymon Majewski, Pierre Ablin:
Kernel Stein Discrepancy Descent. CoRR abs/2105.09994 (2021) - 2018
- [i1]Umut Simsekli, Antoine Liutkus, Szymon Majewski, Alain Durmus:
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions. CoRR abs/1806.08141 (2018)
Coauthor Index
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