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…
Summary of Training Nonlinear Transformers For Chain-of-thought Inference: a Theoretical Generalization Analysis, by Hongkang Li et al.
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysisby Hongkang Li, Meng Wang, Songtao…
Summary of Towards Better Generalization: Weight Decay Induces Low-rank Bias For Neural Networks, by Ke Chen et al.
Towards Better Generalization: Weight Decay Induces Low-rank Bias for Neural Networksby Ke Chen, Chugang Yi,…
Summary of Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices, by Yuka Hashimoto and Tomoharu Iwata
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matricesby Yuka Hashimoto, Tomoharu IwataFirst submitted…
Summary of Breaking the Mold: the Challenge Of Large Scale Marl Specialization, by Stefan Juang et al.
Breaking the mold: The challenge of large scale MARL specializationby Stefan Juang, Hugh Cao, Arielle…
Summary of Disentangled Representation Learning For Parametric Partial Differential Equations, by Ning Liu et al.
Disentangled Representation Learning for Parametric Partial Differential Equationsby Ning Liu, Lu Zhang, Tian Gao, Yue…
Summary of A Formal Framework For Understanding Length Generalization in Transformers, by Xinting Huang et al.
A Formal Framework for Understanding Length Generalization in Transformersby Xinting Huang, Andy Yang, Satwik Bhattamishra,…
Summary of Review Non-convex Optimization Method For Machine Learning, by Greg B Fotopoulos et al.
Review Non-convex Optimization Method for Machine Learningby Greg B Fotopoulos, Paul Popovich, Nicholas Hall PapadopoulosFirst…
Summary of Which Algorithms Have Tight Generalization Bounds?, by Michael Gastpar et al.
Which Algorithms Have Tight Generalization Bounds?by Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas WeinbergerFirst submitted…
Summary of Meta-ttt: a Meta-learning Minimax Framework For Test-time Training, by Chen Tao et al.
Meta-TTT: A Meta-learning Minimax Framework For Test-Time Trainingby Chen Tao, Li Shen, Soumik MondalFirst submitted…