Publikacje

Czasopismo: Journal Of Machine Learning Research

Liczba publikacji: 5

2019

• Alain Durmus, Szymon Majewski i Błażej Miasojedow, Analysis of Langevin Monte Carlo via Convex Optimization, Journal Of Machine Learning Research 20 (73) 2019, s. 1–46.zobacz w PBN

2018

• Błażej Miasojedow i Wojciech Rejchel, Sparse Estimation in Ising Model via Penalized Monte Carlo Methods, Journal Of Machine Learning Research 19 (75) 2018, s. 1–26.zobacz w PBN

2017

• Maciej Klimek, Henryk Michalewski i Piotr Miłoś, Hierarchical Reinforcement Learning with Parameters, Journal Of Machine Learning Research 78 2017.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 i 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