
2
presentations
8
number of views
SHORT BIO
Hilel Alquabeh is a Ph.D. student in machine learning specializing in the theory of convergence in multi-instance loss function optimization. With a strong background in computer science, Hilel is dedicated to advancing the understanding of learning algorithms in complex scenarios. Through rigorous research, Hilel is contributing to the development of novel methodologies that enhance convergence properties, bridging theory and application in machine learning.
Presentations

SAFARI: Cross-lingual Bias and Factuality Detection in News Media and News Articles
Dilshod Azizov and 4 other authors

Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging | VIDEO
Hilal AlQuabeh and 2 other authors