Summary of Universality in Transfer Learning For Linear Models, by Reza Ghane et al.
Universality in Transfer Learning for Linear Modelsby Reza Ghane, Danil Akhtiamov, Babak HassibiFirst submitted to…
Universality in Transfer Learning for Linear Modelsby Reza Ghane, Danil Akhtiamov, Babak HassibiFirst submitted to…
Towards Better Generalization: Weight Decay Induces Low-rank Bias for Neural Networksby Ke Chen, Chugang Yi,…
Nonuniform random feature models using derivative informationby Konstantin Pieper, Zezhong Zhang, Guannan ZhangFirst submitted to…
Kolmogorov-Arnold Network Autoencodersby Mohammadamin Moradi, Shirin Panahi, Erik Bollt, Ying-Cheng LaiFirst submitted to arxiv on:…
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairnessby Lucas Rosenblatt, R. Teal WitterFirst submitted…
On the expressiveness and spectral bias of KANsby Yixuan Wang, Jonathan W. Siegel, Ziming Liu,…
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasksby Alfredo Reichlin, Gustaf Tegnér, Miguel…
Attention layers provably solve single-location regressionby Pierre Marion, Raphaël Berthier, Gérard Biau, Claire BoyerFirst submitted…
Induced Covariance for Causal Discovery in Linear Sparse Structuresby Saeed Mohseni-Sehdeh, Walid SaadFirst submitted to…
HelpSteer2-Preference: Complementing Ratings with Preferencesby Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen,…