by instadatahelp | Sep 6, 2023 | AI Blogs
On the Relationship Between Distance and Kernel Measures of Conditional Dependence Tianhong Sheng, Bharath K. Sriperumbudur; 24(7):1−16, 2023. Abstract Measuring conditional dependence is a crucial task in statistical inference and plays a fundamental role in various...
by instadatahelp | Sep 6, 2023 | AI Blogs
In the realm of finance, accurately predicting stock market trends has always been a formidable challenge. However, with the emergence of machine learning as a powerful tool for forecasting, this research paper undertakes a comparative analysis of four machine...
by instadatahelp | Sep 6, 2023 | AI Blogs
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data Di Wang, Lijie Hu, Huanyu Zhang, Marco Gaboardi, Jinhui Xu; 24(132):1−57, 2023. Abstract This paper examines the estimation of smooth Generalized Linear Models (GLMs) in the...
by instadatahelp | Sep 6, 2023 | AI Blogs
Sampling Random Graph Homomorphisms and Its Applications in Network Data Analysis Hanbaek Lyu, Facundo Memoli, David Sivakoff; 24(9):1−79, 2023. Abstract A graph homomorphism refers to a mapping between two graphs that preserves adjacency relations. This study focuses...
by instadatahelp | Sep 6, 2023 | AI Blogs
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators Benjamin Jakubowski, Sriram Somanchi, Edward McFowland III, Daniel B. Neill; 24(133):1−57, 2023. Abstract This study introduces a novel method for addressing the...
by instadatahelp | Sep 6, 2023 | AI Blogs
Optimal Strategies for Reject Option Classifiers Vojtech Franc, Daniel Prusa, Vaclav Voracek; 24(11):1−49, 2023. Abstract In the context of classification with a reject option, classifiers have the ability to abstain from making predictions in uncertain cases....
by instadatahelp | Sep 6, 2023 | AI Blogs
MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation Qian Li, Binyan Jiang, Defeng Sun; 24(134):1−44, 2023. Abstract The estimation of precision matrices, also known as inverse covariance matrices, is crucial in...
by instadatahelp | Sep 5, 2023 | AI Blogs
Adaptation to the Range in K-Armed Bandits Authors: Hédi Hadiji, Gilles Stoltz; Publication Date: 2023; Pages: 1-33 Abstract This study focuses on stochastic bandit problems involving K arms, each associated with a distribution supported on a given finite range [m,...
by instadatahelp | Sep 5, 2023 | AI Blogs
Sparse GCA and Thresholded Gradient Descent Authors: Sheng Gao, Zongming Ma; Published: 2023; Volume: 24(135); Pages: 1-61. Abstract Sparse GCA and Thresholded Gradient Descent is a study on uncovering linear relationships across multiple data sets. It extends...
by instadatahelp | Sep 5, 2023 | AI Blogs
Extending Adversarial Attacks to Generate Adversarial Class Probability Distributions Authors: Jon Vadillo, Roberto Santana, Jose A. Lozano; Published in 2023, Volume 24, Pages 1-42. Abstract Deep learning models have shown remarkable performance and generalization...
