Publikacje

Czasopismo: JOURNAL OF MACHINE LEARNING RESEARCH

2021

• Przemysław Biecek , Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wiśniewski, dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python, JOURNAL OF MACHINE LEARNING RESEARCH, 22 2021, s. 1-7. Zobacz w PBN

2019

• Alain Durmus, Szymon Majewski, Błażej Miasojedow , Analysis of Langevin Monte Carlo via Convex Optimization, JOURNAL OF MACHINE LEARNING RESEARCH, 20 2019, s. 73:1-46. Zobacz w PBN

2018

• Przemysław Biecek , DALEX: Explainers for Complex Predictive Models in R, JOURNAL OF MACHINE LEARNING RESEARCH, 19 2018, s. 1-5. Zobacz w PBN
• Błażej Miasojedow , Wojciech Rejchel, Sparse Estimation in Ising Model via Penalized Monte Carlo Methods, JOURNAL OF MACHINE LEARNING RESEARCH, 19 2018, s. 1-26. Zobacz w PBN

2016

• Radosław Adamczak , A note on the sample complexity of the ER-SpUD algorithm by Spielman, Wang and Wright for exact recovery of sparsely used dictionaries, JOURNAL OF MACHINE LEARNING RESEARCH, 17 2016, s. 1-18. Zobacz w PBN

2015

• Piotr Pokarowski , Jan Mielniczuk, Combined l1 and Greedy l0 Penalized Least Squares for Linear Model Selection, JOURNAL OF MACHINE LEARNING RESEARCH, 16 2015, s. 961-992. Zobacz w PBN