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stat.ML2022
Package for Fast ABC-Boost
Ping Li, Weijie Zhao
This report presents the open-source package which implements the series of our boosting works in the past years. In particular, the package includes mainly three lines of techniqu…
stat.ML2022
pGMM Kernel Regression and Comparisons with Boosted Trees
Ping Li, Weijie Zhao
In this work, we demonstrate the advantage of the pGMM (``powered generalized min-max'') kernel in the context of (ridge) regression. In recent prior studies, the pGMM kernel has b…
stat.ML2022
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks
Ping Li, Weijie Zhao
We develop the "generalized consistent weighted sampling" (GCWS) for hashing the "powered-GMM" (pGMM) kernel (with a tuning parameter ). It turns out that GCWS provides a numeri…