Szymon Majewski

According to our database, Szymon Majewski authored at least 8 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Adaptive Bayesian SLOPE: Model Selection With Incomplete Data.

Wei Jiang, Malgorzata Bogdan, Julie Josse, Szymon Majewski, Blazej Miasojedow, Veronika Rocková

J. Comput. Graph. Stat., 2022

Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study.

Tom Huix, Szymon Majewski, Alain Durmus, Eric Moulines, Anna Korba

CoRR, 2022

2021

Minibatch optimal transport distances; analysis and applications.

Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty

CoRR, 2021

Kernel Stein Discrepancy Descent.

Anna Korba, Pierre-Cyril Aubin-Frankowski, Szymon Majewski, Pierre Ablin

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Analysis of Langevin Monte Carlo via Convex Optimization.

Alain Durmus, Szymon Majewski, Blazej Miasojedow

J. Mach. Learn. Res., 2019

Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions.

Antoine Liutkus, Umut Simsekli, Szymon Majewski, Alain Durmus, Fabian-Robert Stöter

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions.

Umut Simsekli, Antoine Liutkus, Szymon Majewski, Alain Durmus

CoRR, 2018

The Wasserstein Distance as a Dissimilarity Measure for Mass Spectra with Application to Spectral Deconvolution.

Szymon Majewski, Michal Aleksander Ciach, Michal Startek, Wanda Niemyska, Blazej Miasojedow, Anna Gambin

Proceedings of the 18th International Workshop on Algorithms in Bioinformatics, 2018