IEEE

Constrained Stochastic Recursive Momentum Successive Convex Approximation

Abstract: We consider stochastic optimization problems with non-convex functional constraints, such as those arising in trajectory generation, sparse approximation, and robust classification. To this ...

The Ultimate Guide to Checkout Optimization for Ecommerce Teams

Reduce abandonment, increase AOV, and scale checkout reliability with UX, payments, performance, and testing best practices.
IEEE

Step Size Adaptation for Accelerated Stochastic Momentum Algorithm Using SDE Modeling and Lyapunov Drift Minimization

Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.
Frontiers

Prediction of Thin Sand body Reservoirs using Facies Model-Constrained Stochastic Optimization Inversion

The final, formatted version of the article will be published soon. Abstract—Globally, subtle hydrocarbon reservoirs in petrolifer ous basins have always been challenging targets for exploration r ...