Szymon Majewski

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 9

Top Topics

Top Venues

J. Comput. Graph. Stat.

J. Mach. Learn. Res.

Publications

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) (2022)
Tom Huix, Szymon Majewski, Alain Durmus, Eric Moulines, Anna Korba
Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study. CoRR (2022)
Anna Korba, Pierre-Cyril Aubin-Frankowski, Szymon Majewski, Pierre Ablin
Kernel Stein Discrepancy Descent. CoRR (2021)
Anna Korba, Pierre-Cyril Aubin-Frankowski, Szymon Majewski, Pierre Ablin
Kernel Stein Discrepancy Descent. ICML (2021)
Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty
Minibatch optimal transport distances; analysis and applications. CoRR (2021)
Antoine Liutkus, Umut Simsekli, Szymon Majewski, Alain Durmus, Fabian-Robert Stöter
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions. ICML (2019)
Alain Durmus, Szymon Majewski, Blazej Miasojedow
Analysis of Langevin Monte Carlo via Convex Optimization. J. Mach. Learn. Res. 20 (2019)
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)
Umut Simsekli, Antoine Liutkus, Szymon Majewski, Alain Durmus
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions. CoRR (2018)