A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
L2-Boosting fails to recover sparse parameters in high-dimensional models.
Study on L2-boosting behavior as learning rate approaches zero.
Diffusion-weighted magnetic resonance imaging (DWI) and fiber tractography are the only methods to measure the structure of the white matter in the living human brain. The diffusion signal has been modelled as the combined contribution from many individual fascicles of nerve fibers passing through each location in the …
Early stopping of iterative algorithms is a widely-used form of regularization in statistics, commonly used in conjunction with boosting and related gradient-type algorithms. Although consistency results have been established in some settings, such estimators are less well-understood than their analogues based on penal…
Kernel-based L2-boosting with structure constraints improves regression efficiency.
EarlyStopping package helps prevent overfitting in iterative learning procedures.
PILOT is a fast algorithm for linear model trees that outperforms existing methods.
Boosted HP filter improves trend estimation in economic data.