2 papers
math.NA2026
Adaptive LSQR Preconditioning from One Small Sketch
Jung Eun Huh, Coralia Cartis, Yuji Nakatsukasa
We propose APLICUR, an adaptive preconditioning framework for large-scale linear least-squares (LLS) problems. Using a single small sketch computed once at initialization, APLICUR…
stat.ML2023
Generalization Bounds for Label Noise Stochastic Gradient Descent
Jung Eun Huh, Patrick Rebeschini
We develop generalization error bounds for stochastic gradient descent (SGD) with label noise in non-convex settings under uniform dissipativity and smoothness conditions. Under a…