Publikacje

Czasopismo: JOURNAL OF MACHINE LEARNING RESEARCH

2023

• Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski , Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M., Thanumalayan Sankaranarayana Pillai, Marie Pellat, PaLM: Scaling Language Modeling with Pathways, JOURNAL OF MACHINE LEARNING RESEARCH, 24 (240) 2023, s. 1-113. Zobacz w PBN

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