Publications (6)
Randomness and Interpolation Improve Gradient Descent
Jiawen Li, Pascal Lefevre, Anwar Pp Abdul Majeed
Based on Stochastic Gradient Descent (SGD), the paper introduces two optimizers, named Interpolational Accelerating Gradient Descent (IAGD) as well as Noise-Regularized Stochastic…
Some examples of compact composition operators on
Pascal Lefevre, Daniel Li, Herve Queffelec +1
To appear in J. Functional Analysis
-Müntz spaces as model spaces
Emmanuel Fricain, Pascal Lefevre
We emphasize a bridge between two areas of function theory: hilbertian Müntz spaces and model spaces of the Hardy space of the right half plane. We give miscellaneous applications…
Compact composition operators on and Hardy-Orlicz spaces
Pascal Lefevre, Daniel Li, Herve Queffelec +1
We compare the compactness of composition operators on and on Orlicz-Hardy spaces . We show in particular that exists an Orlicz function such that $H^{3+\eps} \sub…
A criterion of weak compactness for operators on subspaces of Orlicz spaces
Pascal Lefevre, Daniel Li, Herve Queffelec +1
To appear in J. Funct. Spaces and Appl.
Halfway Escape Optimization: A Quantum-Inspired Solution for General Optimization Problems
Jiawen Li, Anwar PP Abdul Majeed, Pascal Lefevre
This paper first proposes the Halfway Escape Optimization (HEO) algorithm, a quantum-inspired metaheuristic designed to address general optimization problems. The HEO mimics the ef…