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Publications by V. P. Plagianakos
Learning Rate Adaptation in Stochastic Gradient Descent
Advances in Convex Analysis and Global Optimization
Improving the Particle Swarm Optimizer by Function “Stretching”
Advances in Convex Analysis and Global Optimization
Differential Evolution Algorithms for Finding Predictive Gene Subsets in Microarray Data
Related publications
Width of Minima Reached by Stochastic Gradient Descent Is Influenced by Learning Rate to Batch Size Ratio
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Adaptive Wavefront Control With Asynchronous Stochastic Parallel Gradient Descent Clusters
Journal of the Optical Society of America A: Optics and Image Science, and Vision
Pattern Recognition
Optics
Molecular Physics,
Computer Vision
Optical
Atomic
Magnetic Materials
Medicine
Electronic
A Parallel and Distributed Stochastic Gradient Descent Implementation Using Commodity Clusters
Journal of Big Data
Information Systems
Computer Networks
Hardware
Communications
Management
Architecture
A Novel Distributed Variant of Stochastic Gradient Descent and Its Optimization
DEStech Transactions on Computer Science and Engineering
Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting
Proceedings of the AAAI Conference on Artificial Intelligence
Health Data Analytics Using Scalable Logistic Regression With Stochastic Gradient Descent
International Journal of Advanced Intelligence Paradigms
Engineering
Applied Mathematics
Computer Science
Fully Distributed Privacy Preserving Mini-Batch Gradient Descent Learning
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
What Drives Short Rate Dynamics? A Functional Gradient Descent Approach
Computational Economics
Computer Science Applications
Economics
Econometrics
Finance
The General Inefficiency of Batch Training for Gradient Descent Learning
Neural Networks
Artificial Intelligence
Cognitive Neuroscience
