Wojciech Rejchel

14 papers A 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Class prior estimation for positive-unlabeled learning when label shift occurs.
CoRR
Jan Mielniczuk, Wojciech Rejchel, Pawel Teisseyre
2024 J jnl
Joint empirical risk minimization for instance-dependent positive-unlabeled data.
Knowl. Based Syst.
Wojciech Rejchel, Pawel Teisseyre, Jan Mielniczuk
2023 A conf
Double Logistic Regression Approach to Biased Positive-Unlabeled Data.
ECAI
Konrad Furmanczyk, Jan Mielniczuk, Wojciech Rejchel, Pawel Teisseyre
2023 — conf
Improving Group Lasso for High-Dimensional Categorical Data.
ICCS (2)
Szymon Nowakowski, Piotr Pokarowski, Wojciech Rejchel, Agnieszka Soltys
2023 J jnl
Joint empirical risk minimization for instance-dependent positive-unlabeled data.
CoRR
Wojciech Rejchel, Pawel Teisseyre, Jan Mielniczuk
2022 J jnl
Joint estimation of posterior probability and propensity score function for positive and unlabelled data.
CoRR
Konrad Furmanczyk, Jan Mielniczuk, Wojciech Rejchel, Pawel Teisseyre
2020 J jnl
Prediction and Variable Selection in High-Dimensional Misspecified Binary Classification.
Entropy
Konrad Furmanczyk, Wojciech Rejchel
2020 J jnl
Structure learning for CTBN's via penalized maximum likelihood methods.
CoRR
Maryia Shpak, Blazej Miasojedow, Wojciech Rejchel
2018 J jnl
Sparse Estimation in Ising Model via Penalized Monte Carlo Methods.
J. Mach. Learn. Res.
Blazej Miasojedow, Wojciech Rejchel
2017 J jnl
Oracle inequalities for ranking and U-processes with Lasso penalty.
Neurocomputing
Wojciech Rejchel
2016 — ch.
Adaptive Monte Carlo Maximum Likelihood.
Challenges in Computational Statistics and Data Mining
Blazej Miasojedow, Wojciech Niemiro, Jan Palczewski, Wojciech Rejchel
2015 J jnl
Comments and Correction on "
Neural Comput.
Wojciech Rejchel, Hong Li, Chuanbao Ren, Luoqing Li
2015 J jnl
Fast rates for ranking with large families.
Neurocomputing
Wojciech Rejchel
2012 J jnl
On Ranking and Generalization Bounds.
J. Mach. Learn. Res.
Wojciech Rejchel