Summary of Decentralized Kernel Ridge Regression Based on Data-dependent Random Feature, by Ruikai Yang et al.
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Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Methodby Ruikai Yang, Fan He, Mingzhen…
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Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recoveryby Caixing Wang, Ziliang ShenFirst submitted to…
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ISR: Invertible Symbolic Regressionby Tony Tohme, Mohammad Javad Khojasteh, Mohsen Sadr, Florian Meyer, Kamal Youcef-ToumiFirst…
Sharpness-Aware Minimization for Evolutionary Feature Construction in Regressionby Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang…
Wilsonian Renormalization of Neural Network Gaussian Processesby Jessica N. Howard, Ro Jefferson, Anindita Maiti, Zohar…
Distilling Diffusion Models into Conditional GANsby Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha…