by instadatahelp | Sep 5, 2023 | AI Blogs
Discrete Variational Calculus for Accelerated Optimization Cédric M. Campos, Alejandro Mahillo, David Martín de Diego; 24(25):1−33, 2023. Abstract The field of machine learning has seen significant advancements in gradient-based optimization methods. A recent approach...
by instadatahelp | Sep 5, 2023 | AI Blogs
Optimal Convergence Rates for Distributed Nystroem Approximation Jian Li, Yong Liu, Weiping Wang; 24(141):1−39, 2023. Abstract The distributed kernel ridge regression (DKRR) has demonstrated significant potential in handling complex tasks. However, DKRR only relies on...
by instadatahelp | Sep 5, 2023 | AI Blogs
The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time Authors: Raj Agrawal, Tamara Broderick; Published in 2023, 24(27):1−60. Abstract Identifying a small set of covariates associated with a target response and...
by instadatahelp | Sep 5, 2023 | AI Blogs
On Tilted Losses in Machine Learning: Theory and Applications Tian Li, Ahmad Beirami, Maziar Sanjabi, Virginia Smith; 24(142):1−79, 2023. Abstract Exponential tilting is a technique commonly employed in statistics, probability, information theory, and optimization to...
by instadatahelp | Sep 5, 2023 | AI Blogs
HiClass: a Python Library for Local Hierarchical Classification Compatible with Scikit-learn Authors: Fábio M. Miranda, Niklas Köhnecke, Bernhard Y. Renard; Publication Date: 24(29):1−17, 2023. Abstract HiClass is a Python library for local hierarchical classification...
by instadatahelp | Sep 5, 2023 | AI Blogs
Large sample spectral analysis of graph-based multi-manifold clustering Authors: Nicolas Garcia Trillos, Pengfei He, Chenghui Li; Journal of Machine Learning Research (JMLR), 24(143):1−71, 2023. Abstract This study focuses on the statistical properties of graph-based...
