2 papers
cs.LG2025
Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning
Jakub Piwko, JÄdrzej RuciÅski, Dawid PÅudowski +5
Ensemble learning has proven effective in boosting predictive performance, but traditional methods such as bagging, boosting, and dynamic ensemble selection (DES) suffer from high…
cs.LG2024
Rethinking of Encoder-based Warm-start Methods in Hyperparameter Optimization
Dawid PÅudowski, Antoni Zajko, Anna Kozak +1
Effectively representing heterogeneous tabular datasets for meta-learning purposes remains an open problem. Previous approaches rely on predefined meta-features, for example, stati…