by instadatahelp | Sep 5, 2023 | AI Blogs
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection Wenhao Li, Ningyuan Chen, L. Jeff Hong; 24(136):1−84, 2023. Abstract This study addresses the problem of dimension reduction in contextual online learning (multi-armed bandit) with...
by instadatahelp | Sep 5, 2023 | AI Blogs
Learning Mean-Field Games with Discounted and Average Costs Berkay Anahtarci, Can Deha Kariksiz, Naci Saldi; 24(17):1−59, 2023. Abstract This study focuses on learning approximate Nash equilibria for discrete-time mean-field games with stochastic nonlinear state...
by instadatahelp | Sep 5, 2023 | AI Blogs
Implicit Bias of Gradient Descent for Mean Squared Error Regression with Two-Layer Wide Neural Networks Hui Jin, Guido Montufar; Volume 24, Issue 137, Pages 1-97, 2023. Abstract This study focuses on investigating the training of wide neural networks using gradient...
by instadatahelp | Sep 5, 2023 | AI Blogs
Regularized Joint Mixture Models Konstantinos Perrakis, Thomas Lartigue, Frank Dondelinger, Sach Mukherjee; 24(19):1−47, 2023. Abstract Regularized regression models have been extensively studied and, when certain conditions are met, they provide fast and...
by instadatahelp | Sep 5, 2023 | AI Blogs
Asymptotics of Network Embeddings Learned via Subsampling Authors: Andrew Davison, Morgane Austern; Publication Date: 2023; Journal: 24(138):1−120 Abstract Network data plays a crucial role in modern machine learning, with various tasks such as node classification,...
