#ridge regression
4 papers · 1 filter
PerturbMap: Cross-Context Transfer of Single-Cell Perturbation Responses
Panpan Cui, Yiqi Liu, Wenhao Sun
PerturbMap predicts missing single‑cell perturbation effects in a new cellular context by combining a low‑rank local model with ridge‑based transfer of measured responses from sour…
Gradient-enhanced spline dimensional decomposition for uncertainty quantification with limited training samples
Eunho Heo, Dongjin Lee
The paper introduces a gradient-enhanced spline dimensional decomposition (GE‑SDD) surrogate that incorporates both function values and partial derivatives to improve uncertainty q…
To Grok Grokking: Provable Grokking in Ridge Regression
Mingyue Xu, Gal Vardi, Itay Safran
The paper provides a theoretical analysis of grokting—delayed generalization after overfitting—in ridge regression, showing how gradient descent with weight decay leads to three ph…
Symbolic Weak-form Recovery of 2-D Stochastic Generators
Sai Sathvik Gullipalli, Eshwar R A
The paper introduces a weak‑form SINDy estimator that combines spatial kernels, ridge‑stabilized projection, adaptive LASSO/STLSQ selection, diagonal GLS, and a positive‑semidefini…