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cs.LG2024
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging
Hilal AlQuabeh, William de Vazelhes, Bin Gu
Pairwise learning, an important domain within machine learning, addresses loss functions defined on pairs of training examples, including those in metric learning and AUC maximizat…
eess.SP2024
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery
William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan +1
Sparse recovery is ubiquitous in machine learning and signal processing. Due to the NP-hard nature of sparse recovery, existing methods are known to suffer either from restrictive…